From deea7f7585d4f1b41ecf1376ddfc6c939fbbfc9c Mon Sep 17 00:00:00 2001 From: ylxmf Date: Tue, 7 Jan 2025 20:20:26 +0800 Subject: [PATCH] refactor --- .github/workflows/deploy.yml | 35 + babel.config.js | 3 - blog/2019-05-28-first-blog-post.md | 12 +- blog/2019-05-29-long-blog-post.md | 4 +- blog/2021-08-01-mdx-blog-post.mdx | 8 +- .../docusaurus-plushie-banner.jpeg | Bin 96122 -> 0 bytes blog/2021-08-26-welcome/index.md | 25 - blog/authors.yml | 18 +- blog/tags.yml | 3 + docs/ASR/ASR.md | 14 - docs/ASR/AzureASR.md | 13 - docs/ASR/Faster-Whisper.md | 13 - docs/ASR/FunASR.md | 33 - docs/ASR/GroqWhisperASR.md | 8 - docs/ASR/Whisper.md | 9 - docs/ASR/WhisperCPP.md | 25 - docs/ASR/_category_.json | 8 - docs/ASR/speech-recognition.md | 65 - docs/LLM/_category_.json | 8 - docs/Start/Start.md | 269 - docs/Start/_category_.json | 8 - docs/Start/installation-guide.md | 216 - docs/Start/intro.md | 47 - docs/TTS/TTS.md | 0 docs/TTS/_category_.json | 8 - docs/advanced/docker.md | 52 - docs/advanced/mem0.md | 29 - docs/advanced/memgpt.md | 49 - docs/api-reference/_category_.json | 8 + .../api-reference/backend-api/_category_.json | 8 + docs/api-reference/backend-api/agent.md | 5 + docs/api-reference/backend-api/asr.md | 5 + .../api-reference/backend-api/chat-history.md | 5 + .../backend-api/config-manager.md | 5 + .../api-reference/backend-api/conversation.md | 5 + docs/api-reference/backend-api/llm.md | 5 + .../backend-api/overview.md} | 2 +- .../backend-api/service-context.md | 5 + docs/api-reference/backend-api/translate.md | 5 + docs/api-reference/backend-api/tts.md | 5 + docs/api-reference/backend-api/websocket.md | 11 + .../frontend-api/_category_.json | 8 + docs/api-reference/frontend-api/components.md | 5 + .../frontend-api/context/_category_.json | 8 + .../frontend-api/context/ai-state.md | 5 + .../frontend-api/context/background.md | 5 + .../frontend-api/context/camera.md | 5 + .../context/character-config-context.md | 5 + .../frontend-api/context/chat-history.md | 5 + .../frontend-api/context/live2d-config.md | 5 + .../frontend-api/context/live2d-model.md | 5 + .../context/proactive-speak-context.md | 5 + .../frontend-api/context/subtitle.md | 5 + .../api-reference/frontend-api/context/vad.md | 5 + .../frontend-api/context/websocket-context.md | 5 + .../frontend-api/electron-main.md | 5 + .../frontend-api/electron-preload.md | 5 + .../frontend-api/hooks/_category_.json | 8 + .../frontend-api/hooks/canvas.md | 5 + .../frontend-api/hooks/footer.md | 5 + .../frontend-api/hooks/live2d.md} | 2 +- .../frontend-api/hooks/setting.md | 5 + .../frontend-api/hooks/sidebar.md | 5 + .../api-reference/frontend-api/hooks/utils.md | 5 + docs/community/_category_.json | 8 + docs/community/contact.md | 6 + docs/community/contribute.md | 5 + docs/development/contributing.md | 49 - docs/features/live2d.md | 37 - docs/features/llm-backends.md | 52 - docs/features/translation.md | 28 - docs/intro.md | 5 + docs/original_doc/Installation_guide.md | 255 - docs/original_doc/README-open-llm-vtuber.md | 465 - docs/quick-start/_category_.json | 8 + docs/quick-start/backend.md | 6 + docs/quick-start/frontend.md | 6 + docs/user-guide/_category_.json | 7 + docs/user-guide/backend/_category_.json | 7 + docs/user-guide/backend/agent.md | 5 + docs/user-guide/backend/asr.md | 5 + docs/user-guide/backend/config.md | 5 + docs/user-guide/backend/llm.md | 5 + docs/user-guide/backend/structure.md | 5 + docs/user-guide/backend/translate.md | 5 + docs/user-guide/backend/tts.md | 5 + docs/user-guide/frontend/_category_.json | 7 + docs/user-guide/frontend/mode.md | 5 + docs/user-guide/frontend/pet-mode.md | 5 + docs/user-guide/frontend/web-window-mode.md | 5 + docusaurus.config.js | 131 - docusaurus.config.ts | 161 + package-lock.json | 38214 +++++++++++----- package.json | 17 +- sidebars.js | 65 - sidebars.ts | 33 + .../HomepageFeatures/{index.js => index.tsx} | 12 +- src/pages/{index.js => index.tsx} | 16 +- src/pages/who_am_I.md | 21 - static/img/logo.png | Bin 412261 -> 0 bytes tsconfig.json | 8 + 101 files changed, 27712 insertions(+), 13144 deletions(-) create mode 100644 .github/workflows/deploy.yml delete mode 100644 babel.config.js delete mode 100644 blog/2021-08-26-welcome/docusaurus-plushie-banner.jpeg delete mode 100644 blog/2021-08-26-welcome/index.md delete mode 100644 docs/ASR/ASR.md delete mode 100644 docs/ASR/AzureASR.md delete mode 100644 docs/ASR/Faster-Whisper.md delete mode 100644 docs/ASR/FunASR.md delete mode 100644 docs/ASR/GroqWhisperASR.md delete mode 100644 docs/ASR/Whisper.md delete mode 100644 docs/ASR/WhisperCPP.md delete mode 100644 docs/ASR/_category_.json delete mode 100644 docs/ASR/speech-recognition.md delete mode 100644 docs/LLM/_category_.json delete mode 100644 docs/Start/Start.md delete mode 100644 docs/Start/_category_.json delete mode 100644 docs/Start/installation-guide.md delete mode 100644 docs/Start/intro.md delete mode 100644 docs/TTS/TTS.md delete mode 100644 docs/TTS/_category_.json delete mode 100644 docs/advanced/docker.md delete mode 100644 docs/advanced/mem0.md delete mode 100644 docs/advanced/memgpt.md create mode 100644 docs/api-reference/_category_.json create mode 100644 docs/api-reference/backend-api/_category_.json create mode 100644 docs/api-reference/backend-api/agent.md create mode 100644 docs/api-reference/backend-api/asr.md create mode 100644 docs/api-reference/backend-api/chat-history.md create mode 100644 docs/api-reference/backend-api/config-manager.md create mode 100644 docs/api-reference/backend-api/conversation.md create mode 100644 docs/api-reference/backend-api/llm.md rename docs/{LLM/LLM.md => api-reference/backend-api/overview.md} (64%) create mode 100644 docs/api-reference/backend-api/service-context.md create mode 100644 docs/api-reference/backend-api/translate.md create mode 100644 docs/api-reference/backend-api/tts.md create mode 100644 docs/api-reference/backend-api/websocket.md create mode 100644 docs/api-reference/frontend-api/_category_.json create mode 100644 docs/api-reference/frontend-api/components.md create mode 100644 docs/api-reference/frontend-api/context/_category_.json create mode 100644 docs/api-reference/frontend-api/context/ai-state.md create mode 100644 docs/api-reference/frontend-api/context/background.md create mode 100644 docs/api-reference/frontend-api/context/camera.md create mode 100644 docs/api-reference/frontend-api/context/character-config-context.md create mode 100644 docs/api-reference/frontend-api/context/chat-history.md create mode 100644 docs/api-reference/frontend-api/context/live2d-config.md create mode 100644 docs/api-reference/frontend-api/context/live2d-model.md create mode 100644 docs/api-reference/frontend-api/context/proactive-speak-context.md create mode 100644 docs/api-reference/frontend-api/context/subtitle.md create mode 100644 docs/api-reference/frontend-api/context/vad.md create mode 100644 docs/api-reference/frontend-api/context/websocket-context.md create mode 100644 docs/api-reference/frontend-api/electron-main.md create mode 100644 docs/api-reference/frontend-api/electron-preload.md create mode 100644 docs/api-reference/frontend-api/hooks/_category_.json create mode 100644 docs/api-reference/frontend-api/hooks/canvas.md create mode 100644 docs/api-reference/frontend-api/hooks/footer.md rename docs/{LLM/MemGPT.md => api-reference/frontend-api/hooks/live2d.md} (76%) create mode 100644 docs/api-reference/frontend-api/hooks/setting.md create mode 100644 docs/api-reference/frontend-api/hooks/sidebar.md create mode 100644 docs/api-reference/frontend-api/hooks/utils.md create mode 100644 docs/community/_category_.json create mode 100644 docs/community/contact.md create mode 100644 docs/community/contribute.md delete mode 100644 docs/development/contributing.md delete mode 100644 docs/features/live2d.md delete mode 100644 docs/features/llm-backends.md delete mode 100644 docs/features/translation.md create mode 100644 docs/intro.md delete mode 100644 docs/original_doc/Installation_guide.md delete mode 100644 docs/original_doc/README-open-llm-vtuber.md create mode 100644 docs/quick-start/_category_.json create mode 100644 docs/quick-start/backend.md create mode 100644 docs/quick-start/frontend.md create mode 100644 docs/user-guide/_category_.json create mode 100644 docs/user-guide/backend/_category_.json create mode 100644 docs/user-guide/backend/agent.md create mode 100644 docs/user-guide/backend/asr.md create mode 100644 docs/user-guide/backend/config.md create mode 100644 docs/user-guide/backend/llm.md create mode 100644 docs/user-guide/backend/structure.md create mode 100644 docs/user-guide/backend/translate.md create mode 100644 docs/user-guide/backend/tts.md create mode 100644 docs/user-guide/frontend/_category_.json create mode 100644 docs/user-guide/frontend/mode.md create mode 100644 docs/user-guide/frontend/pet-mode.md create mode 100644 docs/user-guide/frontend/web-window-mode.md delete mode 100644 docusaurus.config.js create mode 100644 docusaurus.config.ts delete mode 100644 sidebars.js create mode 100644 sidebars.ts rename src/components/HomepageFeatures/{index.js => index.tsx} (85%) rename src/pages/{index.js => index.tsx} (78%) delete mode 100644 src/pages/who_am_I.md delete mode 100644 static/img/logo.png create mode 100644 tsconfig.json diff --git a/.github/workflows/deploy.yml b/.github/workflows/deploy.yml new file mode 100644 index 0000000..abdb4b6 --- /dev/null +++ b/.github/workflows/deploy.yml @@ -0,0 +1,35 @@ +name: Deploy to GitHub Pages + +on: + push: + branches: + - main + +jobs: + deploy: + name: Deploy to GitHub Pages + runs-on: ubuntu-latest + permissions: + contents: write + + steps: + - uses: actions/checkout@v4 + + - name: Setup Node + uses: actions/setup-node@v4 + with: + node-version: '18' + + - name: Install dependencies + run: npm install + + - name: Build website + run: npm run build + + - name: Deploy to GitHub Pages + uses: peaceiris/actions-gh-pages@v3 + with: + github_token: ${{ secrets.GITHUB_TOKEN }} + publish_dir: ./build + user_name: github-actions[bot] + user_email: 41898282+github-actions[bot]@users.noreply.github.com \ No newline at end of file diff --git a/babel.config.js b/babel.config.js deleted file mode 100644 index e00595d..0000000 --- a/babel.config.js +++ /dev/null @@ -1,3 +0,0 @@ -module.exports = { - presets: [require.resolve('@docusaurus/core/lib/babel/preset')], -}; diff --git a/blog/2019-05-28-first-blog-post.md b/blog/2019-05-28-first-blog-post.md index 02f3f81..d3032ef 100644 --- a/blog/2019-05-28-first-blog-post.md +++ b/blog/2019-05-28-first-blog-post.md @@ -1,12 +1,12 @@ --- slug: first-blog-post title: First Blog Post -authors: - name: Gao Wei - title: Docusaurus Core Team - url: https://github.com/wgao19 - image_url: https://github.com/wgao19.png +authors: [slorber, yangshun] tags: [hola, docusaurus] --- -Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet +Lorem ipsum dolor sit amet... + + + +...consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet diff --git a/blog/2019-05-29-long-blog-post.md b/blog/2019-05-29-long-blog-post.md index 26ffb1b..eb4435d 100644 --- a/blog/2019-05-29-long-blog-post.md +++ b/blog/2019-05-29-long-blog-post.md @@ -1,7 +1,7 @@ --- slug: long-blog-post title: Long Blog Post -authors: endi +authors: yangshun tags: [hello, docusaurus] --- @@ -9,7 +9,7 @@ This is the summary of a very long blog post, Use a `` comment to limit blog post size in the list view. - + Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. 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can be convenient to co-locate blog post images: - -![Docusaurus Plushie](./docusaurus-plushie-banner.jpeg) - -The blog supports tags as well! - -**And if you don't want a blog**: just delete this directory, and use `blog: false` in your Docusaurus config. diff --git a/blog/authors.yml b/blog/authors.yml index bcb2991..8bfa5c7 100644 --- a/blog/authors.yml +++ b/blog/authors.yml @@ -1,17 +1,23 @@ -endi: - name: Endilie Yacop Sucipto - title: Maintainer of Docusaurus - url: https://github.com/endiliey - image_url: https://github.com/endiliey.png - yangshun: name: Yangshun Tay title: Front End Engineer @ Facebook url: https://github.com/yangshun image_url: https://github.com/yangshun.png + page: true + socials: + x: yangshunz + github: yangshun slorber: name: Sébastien Lorber title: Docusaurus maintainer url: https://sebastienlorber.com image_url: https://github.com/slorber.png + page: + # customize the url of the author page at /blog/authors/ + permalink: '/all-sebastien-lorber-articles' + socials: + x: sebastienlorber + linkedin: sebastienlorber + github: slorber + newsletter: https://thisweekinreact.com diff --git a/blog/tags.yml b/blog/tags.yml index f71dd73..bfaa778 100644 --- a/blog/tags.yml +++ b/blog/tags.yml @@ -2,14 +2,17 @@ facebook: label: Facebook permalink: /facebook description: Facebook tag description + hello: label: Hello permalink: /hello description: Hello tag description + docusaurus: label: Docusaurus permalink: /docusaurus description: Docusaurus tag description + hola: label: Hola permalink: /hola diff --git a/docs/ASR/ASR.md b/docs/ASR/ASR.md deleted file mode 100644 index 814fa56..0000000 --- a/docs/ASR/ASR.md +++ /dev/null @@ -1,14 +0,0 @@ ---- -sidebar_position: 1 ---- - - -Typical steps for installing a new ASR provider: - -- Check the documentation -- Install the dependencies - -In `conf.yaml` - -- Edit the `ASR_MODELS` to the ASR of your choice -- Edit the settings under the ASR of your choice \ No newline at end of file diff --git a/docs/ASR/AzureASR.md b/docs/ASR/AzureASR.md deleted file mode 100644 index de16ac5..0000000 --- a/docs/ASR/AzureASR.md +++ /dev/null @@ -1,13 +0,0 @@ ---- -sidebar_position: 7 ---- - - -`AzureASR` (online, API Key required) - -- Azure Speech Recognition. Install with `pip install azure-cognitiveservices-speech`. -- API key and internet connection are required. -- **⚠️ ‼️ The `api_key.py` was deprecated in `v0.2.5`. Please set api keys in `conf.yaml`.** - - - diff --git a/docs/ASR/Faster-Whisper.md b/docs/ASR/Faster-Whisper.md deleted file mode 100644 index 4967239..0000000 --- a/docs/ASR/Faster-Whisper.md +++ /dev/null @@ -1,13 +0,0 @@ ---- -sidebar_position: 3 ---- - - -Whisper, but faster. On macOS, it runs on CPU only, which is not so fast, but it's easy to use. - -For Nvidia GPU users, to use GPU acceleration, you need the following NVIDIA libraries to be installed: - -- [cuBLAS for CUDA 12](https://developer.nvidia.com/cublas) -- [cuDNN 8 for CUDA 12](https://developer.nvidia.com/cudnn) - -Or if you don't need the speed, you can set the `device` setting under `Faster-Whisper` in `conf.yaml` to `cpu` to reduce headaches. \ No newline at end of file diff --git a/docs/ASR/FunASR.md b/docs/ASR/FunASR.md deleted file mode 100644 index 6c4b258..0000000 --- a/docs/ASR/FunASR.md +++ /dev/null @@ -1,33 +0,0 @@ ---- -sidebar_position: 2 ---- - - -[FunASR](https://github.com/modelscope/FunASR?tab=readme-ov-file) is a Fundamental End-to-End Speech Recognition Toolkit from ModelScope that runs many ASR models. The result and speed are pretty good with the SenseVoiceSmall from [FunAudioLLM](https://github.com/FunAudioLLM/SenseVoice) at Alibaba Group. - -It requires an internet connection on launch _even if the models are locally available_. See https://github.com/modelscope/FunASR/issues/1897 - -## Installation - -Install all the dependencies with `pip install -U funasr modelscope huggingface_hub torch torchaudio`. - - -## Configuration - -#### Switch to FunASR - -Go to `conf.yaml` and set the `ASR_MODEL` to `FunASR`. - -Just like this - -~~~yaml -ASR_MODEL: "FunASR" -~~~ - - - - - - - - diff --git a/docs/ASR/GroqWhisperASR.md b/docs/ASR/GroqWhisperASR.md deleted file mode 100644 index ebca6bb..0000000 --- a/docs/ASR/GroqWhisperASR.md +++ /dev/null @@ -1,8 +0,0 @@ ---- -sidebar_position: 4 ---- - -`GroqWhisperASR` (online, API Key required) - -- Whisper endpoint from Groq. It's very fast and has a lot of free usage every day. It's pre-installed. Get an API key from [groq](https://console.groq.com/keys) and add it into the GroqWhisper setting in the `conf.yaml`. -- API key and internet connection are required. \ No newline at end of file diff --git a/docs/ASR/Whisper.md b/docs/ASR/Whisper.md deleted file mode 100644 index 8853423..0000000 --- a/docs/ASR/Whisper.md +++ /dev/null @@ -1,9 +0,0 @@ ---- -sidebar_position: 6 ---- - - -`Whisper` (local) - -- Original Whisper from OpenAI. Install it with `pip install -U openai-whisper` -- The slowest of all. Added as an experiment to see if it can utilize macOS GPU. It didn't. \ No newline at end of file diff --git a/docs/ASR/WhisperCPP.md b/docs/ASR/WhisperCPP.md deleted file mode 100644 index b517075..0000000 --- a/docs/ASR/WhisperCPP.md +++ /dev/null @@ -1,25 +0,0 @@ ---- -sidebar_position: 5 ---- - - -`WhisperCPP` (local) (runs super fast on a Mac if configured correctly) - -If you are on a Mac, read below for instructions on setting up WhisperCPP with coreML support. If you want to use CPU or Nvidia GPU, install the package by running `pip install pywhispercpp`. - -The whisper cpp python binding. It can run on coreML with configuration, which makes it very fast on macOS. - -On CPU or Nvidia GPU, it's probably slower than Faster-Whisper - - - - - -WhisperCPP coreML configuration: - -- Uninstall the original `pywhispercpp` if you have already installed it. We are building the package. -- Run `install_coreml_whisper.py` with Python to automatically clone and build the coreML-supported `pywhispercpp` for you. -- Prepare the appropriate coreML models. - - You can either convert models to coreml according to the documentation on Whisper.cpp repo - - ...or you can find some [magical huggingface repo](https://huggingface.co/chidiwilliams/whisper.cpp-coreml/tree/main) that happens to have those converted models. Just remember to decompress them. If the program fails to load the model, it will produce a segmentation fault. - - You don't need to include those weird prefixes in the model name in the `conf.yaml`. For example, if the coreML model's name looks like `ggml-base-encoder.mlmodelc`, just put `base` into the `model_name` under `WhisperCPP` settings in the `conf.yaml`. \ No newline at end of file diff --git a/docs/ASR/_category_.json b/docs/ASR/_category_.json deleted file mode 100644 index a472520..0000000 --- a/docs/ASR/_category_.json +++ /dev/null @@ -1,8 +0,0 @@ -{ - "label": "Setup Speech Recognition", - "position": 3, - "link": { - "type": "generated-index", - "description": "Start here and setup the Open LLM Vtuber project." - } -} diff --git a/docs/ASR/speech-recognition.md b/docs/ASR/speech-recognition.md deleted file mode 100644 index 083ad96..0000000 --- a/docs/ASR/speech-recognition.md +++ /dev/null @@ -1,65 +0,0 @@ ---- -sidebar_position: 1 ---- - -# Speech Recognition (ASR) - -Open-LLM-VTuber supports multiple speech recognition (ASR) backends. You can configure which one to use by editing the `ASR_MODEL` setting in `conf.yaml`. - -## Available Options - -### FunASR -- [FunASR](https://github.com/modelscope/FunASR) is a Fundamental End-to-End Speech Recognition Toolkit from ModelScope -- Supports [SenseVoiceSmall](https://github.com/FunAudioLLM/SenseVoice) and other models -- Very fast even on CPU -- Installation: - ```bash - pip install -U funasr modelscope huggingface_hub - pip install torch torchaudio # Ensure torch>=1.13 - ``` -:::note -Currently requires internet connection on launch even if models are locally available -::: - -### Faster-Whisper -- Optimized version of Whisper -- For Nvidia GPU users, requires: - - [cuBLAS for CUDA 12](https://developer.nvidia.com/cublas) - - [cuDNN 8 for CUDA 12](https://developer.nvidia.com/cudnn) -- Can run on CPU by setting `device: cpu` in `conf.yaml` - -### WhisperCPP -- Python binding for Whisper.cpp -- Installation: `pip install pywhispercpp` -- Excellent performance on macOS with CoreML support -- For CoreML support: - 1. Run `install_coreml_whisper.py` to build with CoreML support - 2. Prepare CoreML models - 3. Set model name in `conf.yaml` without prefixes (e.g., use `base` for `ggml-base-encoder.mlmodelc`) - -### Original Whisper -- OpenAI's original Whisper implementation -- Installation: `pip install -U openai-whisper` -- Slower compared to other options - -### Groq Whisper -- Hosted Whisper endpoint with generous free tier -- Requires API key from [Groq](https://console.groq.com/keys) -- Fast response times - -### Azure Speech Recognition -- Microsoft Azure's speech recognition service -- Installation: `pip install azure-cognitiveservices-speech` -- Requires API key -- Configure in `conf.yaml` - -## Configuration - -The microphone input can be configured in two ways: -1. Server terminal (default) -2. Browser-based input (set `MIC_IN_BROWSER: true` in `conf.yaml`) - -:::tip -Browser-based input is useful when running the backend on a different machine or in a container, but may have higher latency. -::: - diff --git a/docs/LLM/_category_.json b/docs/LLM/_category_.json deleted file mode 100644 index 1d537a8..0000000 --- a/docs/LLM/_category_.json +++ /dev/null @@ -1,8 +0,0 @@ -{ - "label": "LLM & MemGPT", - "position": 2, - "link": { - "type": "generated-index", - "description": "Start here and setup the Open LLM Vtuber project." - } -} diff --git a/docs/Start/Start.md b/docs/Start/Start.md deleted file mode 100644 index e56e45c..0000000 --- a/docs/Start/Start.md +++ /dev/null @@ -1,269 +0,0 @@ ---- -sidebar_position: 2 ---- - - - -Welcome, my guest. - - - -This is [Open-LLM-VTuber](https://github.com/t41372/Open-LLM-VTuber), an application that allows you to talk to any LLM by voice (hands free) locally with a Live2D talking face. - - - -> ⚠️ This project is in its early stages and is currently under **active development**. Features are unstable, code is messy, and breaking changes will occur. The main goal of this stage is to build a minimum viable prototype using technologies that are easy to integrate. - -> ⚠️ If you want to run this program on a server and access it remotely on your laptop, the microphone on the front end will only launch in a secure context (a.k.a. https or localhost). See [MDN Web Doc](https://developer.mozilla.org/en-US/docs/Web/API/MediaDevices/getUserMedia). Therefore, you might want to either configure https with a reverse proxy or launch the front end locally and connects to the server via websocket (untested). Open the `static/index.html` with your browser and set the ws url on the page. - - - -⚠️ This project is not very easy to setup at this moment. The modularity and the fact that this is a Python project that uses a ton of AI stuffs that needs to be executed locally creates a lot of headaches. I'm working on an installation script with recommended configuration to simplified the process, but it's not complete yet. - - - -## Prerequisite - -Have `ffmpeg` installed on your computer. - - - -### Basic knowledge - -All of the settings are in `conf.yaml`. You can (and probably will) do many things there, and there are also comments in that file explaining what those settings mean. - - - -## Setup steps - -1. Clone the repo -2. [optional] create a virtual environment like conda or venv for this project -3. Install *basic* dependencies with `pip install -r requirements.txt` -4. Setup the LLM -5. Setup your desired ASR (Automatic Speech Recognition) -6. Setup your desired TTS (Text to Speech) -7. Run it - - - - - -## Step 1: Clone the repo - -Find a good spot in your computer and clone the repository - -~~~sh -git clone https://github.com/t41372/Open-LLM-VTuber -~~~ - -Nice. ~~now go to github and star this project if you haven't done so or you'll &*&Eujehruedjhnoeire4939*#pE$~~ - - - -## Step 2: [optional] Create a virtual environment for this project - -It is optional, yet I *highly* recommend you to create a virtual environment for this project. - -This project was developed using Python `3.10.13`. Python 3.11 is tested. Some other versions will probably work too, but they are untested. - -#### If you don't know what virtual environment is, here is a quick explaination: - -> A Python virtual environment (venv) is a folder that contains the Python interpreter, third-party libraries, and other scripts. Venvs are isolated from other virtual environments, so changes to dependencies don't affect other virtual environments or system-wide libraries. -> -> -- [dataquest](https://www.dataquest.io/blog/a-complete-guide-to-python-virtual-environments/) - -#### Why? - -The reason why I highly recommend you use a virtual environment for this project is because this will make your life a ton easier. This project uses a lot of dependencies, and dependency conflicts happen very often. Use a virtual environment to isolate them saves your hair. - -#### Venv - -If you don't know what conda is, we can use `venv`, which is built in to python and is pretty nice. - -~~~bash -# create a virtual environment -python -m venv open-llm-vtuber -~~~ - -To activate the virtual environment, run the following command: - -**On Windows** - -```bash -myenv\Scripts\activate -``` - -**On macOS/Linux** - -```bash -source myenv/bin/activate -``` - - - -#### or conda - -If you know what conda is, then you know what to do. Here is the command I personally use. If you don't know what conda is, I recommend you use `venv`. - -~~~sh -# create a conda environment in project directory -conda create -p ./.conda python="3.10.4" -# activate this environment -conda activate ./.conda -~~~ - - - - - -## Step 3: Install basic dependencies - -Run the following in the root directory of this project to install the dependencies. - -~~~shell -pip install -r requirements.txt # Run this in the project directory -~~~ - - - - - -## Step 4: Set up the LLM - -You need to have [Ollama](https://github.com/jmorganca/ollama) or any other OpenAI-API-Compatible backend ready and running. You can use llama.cpp, vLLM, LM Studio, groq, OpenAI, and so much more. - -#### MemGPT - -If you want to use long-term memory with MemGPT, you will set MemGPT as your LLM backend instead of the ones mentioned above. Check out MemGPT section for more information (it's not very easy unless you already know how to run MemGPT, so I recommend you start with ollama or other OpenAI-Compatible LLM backend instead). - - - -#### Ollama and OpenAI Compatible LLM Backend - -Prepare the LLM of your choice and have the LLM inference server like ollama running. - -In `conf.yaml` file, under the option `ollama`, you can edit the configuration for all OpenAI Compatible LLM inference backend. - -Here is the setting in `conf.yaml` - -~~~yaml -# ============== LLM Backend Settings =================== - -# Provider of LLM. Choose either "ollama" or "memgpt" (or "fakellm for debug purposes") -# "ollama" for any OpenAI Compatible backend. "memgpt" requires setup -LLM_PROVIDER: "ollama" - - -# Ollama & OpenAI Compatible inference backend -ollama: - BASE_URL: "http://localhost:11434/v1" - LLM_API_KEY: "somethingelse" - ORGANIZATION_ID: "org_eternity" - PROJECT_ID: "project_glass" - ## LLM name - MODEL: "llama3.1:latest" - # system prompt is at the very end of this file - VERBOSE: False - -~~~ - -If you don't use `LLM_API_KEY`, `ORGANIZATION_ID`, and `PROJECT_ID`, just leave them as it is. - - - -If you are so excited right now that you want to try this project without voice interactions, you can set `LIVE2D`, `VOICE_INPUT_ON`, and `TTS_ON` to `False` in the `conf.yaml` to talk with the LLM by typing with no voice nor Live2D. Remeber to turn them back on later on. - - - -## Step 5: Set up Automatic Speech Recognition (ASR) - -This project supports a number of speech recognition. Check out the ASR section for installation instructions. - -In general, here are the steps to set up a speech recognition: - -1. Install the dependencies -2. Edit the configurations of the ASR you use in `conf.yaml`. You can usually change the language or model there if supported. -3. Set `ASR_MODEL` to the ASR of your choice. - -As of writing, this project supports the following ASR: - -- [FunASR](https://github.com/modelscope/FunASR), which support [SenseVoiceSmall](https://github.com/FunAudioLLM/SenseVoice) and some other models. (~~Local~~ Currently requires an internet connection for loading. Compute locally) -- [Faster-Whisper](https://github.com/SYSTRAN/faster-whisper) (Local) -- [Whisper-CPP](https://github.com/ggerganov/whisper.cpp) using the python binding [pywhispercpp](https://github.com/abdeladim-s/pywhispercpp) (Local, mac GPU acceleration can be configured) -- [Whisper](https://github.com/openai/whisper) (local) -- [Azure Speech Recognition](https://azure.microsoft.com/en-us/products/ai-services/speech-to-text) (API Key required) - -#### Some recommendations: - -If you don't care it connects to the internet on launch (will be fixed in the future), I recommend FunASR with SenseVoiceSmall. It's very fast and the accuracy is pretty good. - -If you want something that works offline, I recommend Faster-Whisper if you have an Nvidia GPU, and Whisper-CPP with coreML accleration if you are using macOS. - -You can also use Azure Speech Recognition if you happen to have the API key. - - - -> ⚠️ If you want to run this application (the server) inside a container or on a remote machine and access the webui with local device, you need to turn `MIC_IN_BROWSER` to True in the `conf.yaml`. There are more things you need to consider and it's at the top of this page. - - - - - -## Step 6: Set up Text-To-Speech (TTS) - -Check out TTS section for instruction of setting up the TTS you want. - -In general, here are the steps to set up a text to speech service: - -1. Install the dependencies -2. Edit the configurations of the TTS you use in `conf.yaml`. You can usually change the language or speakers there if supported. -3. Set `TTS_MODEL` to the TTS of your choice. - -Here are some supported TTS as of writing: - -- [py3-tts](https://github.com/thevickypedia/py3-tts) (Local, it uses your system's default TTS engine) -- [bark](https://github.com/suno-ai/bark) (Local, very resource-consuming) -- [CosyVoice](https://github.com/FunAudioLLM/CosyVoice) (Local, very resource-consuming) -- MeloTTS (local, fast) -- [Edge TTS](https://github.com/rany2/edge-tts) (online, no API key required) -- [Azure Text-to-Speech](https://azure.microsoft.com/en-us/products/ai-services/text-to-speech) (online, API Key required) - - - - - -## Step 7: Run the program - -For now, if you are using live2D and everything we mentioned above, here are the steps to run the program: - -1. Run `server.py` -2. Open `localhost:8000` with your browser -3. Run `main.py` - -The launch process will be changed and simplified very soon. - -Some related settings in `conf.yaml` you might be interested: - -- Turn off the live2D (and the webui so you don't need the server.py) at `LIVE2D` -- Turn off Speech Recognition and start typing in the terminal at `VOICE_INPUT_ON` -- Let the mic listen in the browser instead of the terminal at `MIC_IN_BROWSER` -- Turn off TTS at `TTS_ON` -- Get TTS speaks everything at once at `SAY_SENTENCE_SEPARATELY` -- Change/Edit persona prompt at `PERSONA_CHOICE` and `DEFAULT_PERSONA_PROMPT_IN_YAML` -- Change the host and port that the server is listening to at `HOST` and `PORT` -- and `VERBOSE` - - - -Run `main.py` with Python. Some models will be downloaded during your first launch, which may take a while. - - - - - - - - - - - diff --git a/docs/Start/_category_.json b/docs/Start/_category_.json deleted file mode 100644 index 62bd934..0000000 --- a/docs/Start/_category_.json +++ /dev/null @@ -1,8 +0,0 @@ -{ - "label": "Start Here", - "position": 1, - "link": { - "type": "generated-index", - "description": "Start here and setup the Open LLM Vtuber project." - } -} diff --git a/docs/Start/installation-guide.md b/docs/Start/installation-guide.md deleted file mode 100644 index a42e388..0000000 --- a/docs/Start/installation-guide.md +++ /dev/null @@ -1,216 +0,0 @@ ---- -sidebar_position: 3 ---- - -# Open-LLM-VTuber Installation Guide - -This guide will walk you through setting up Open-LLM-VTuber step by step. - -:::warning -This project is in its early stages and under active development. Features are unstable, code is messy, and breaking changes will occur. This guide reflects the current state and may be outdated soon. -::: - -:::warning -This project is not very easy to setup at this moment. Modularity and local execution of AI components create complexities. We're working on simplifying this process, including an installation script with recommended configurations. -::: - -:::note -If you want to run this on a server and access it remotely, the microphone in the web UI will only work in a secure context (HTTPS or localhost). See [MDN Web Docs](https://developer.mozilla.org/en-US/docs/Web/API/MediaDevices/getUserMedia). You might need to configure HTTPS with a reverse proxy or open `static/index.html` locally and connect to the server via WebSocket. -::: - - -## Basic Knowledge - -All settings are in `conf.yaml`. This file contains comments explaining the settings. - -# Setup Steps - -0. Make sure you have what you need - -1. Clone the repository -2. (Optional but highly recommended) Create a virtual environment -3. Install basic dependencies -4. Setup the LLM -5. Setup your desired ASR (Automatic Speech Recognition) -6. Setup your desired TTS (Text to Speech) -7. Run the program - - - -## Step 0: Make sure you have what you need - -### Prerequisites - -- Git -- `ffmpeg` installed on your computer -- Python version >= 3.10, < 3.13 (Dependency issues exist in Python 3.13. Use 3.12 or lower if you encounter problems) - -#### Git - -You need `git` installed on your computer. - -Check your installation with the command `git --version`. - -if it says something like - -~~~text -git version 2.39.5 -~~~ - -then you are good to proceed. - -If it's something else, go install `git`. - - - -### Python - -- You need a python version `>= 3.10` and `< 3.13` - -Check with `python --version` or `python3 --version` - -If the version number shows up are between 3.10 -> 3.12, you are good. - -If not, well, installing python again would be bad. You can use `conda` which allows you to create virtual environments with whatever python version you want. We will talk about virtual environment soon. - - - -## Step 1: Download the Repo - -```bash -git clone https://github.com/t41372/Open-LLM-VTuber -``` - -If you do not download the repo in this way, you may not be able to use the upgrade script added in version `v0.2.5.release` in the future. - -## Step 2: Create Virtual Environment (Recommended) - -### Using venv (if you don't have a python version issue) - -```bash -# Create virtual environment -python -m venv open-llm-vtuber - -# Activate on Windows -open-llm-vtuber\Scripts\activate - -# Activate on macOS/Linux -source open-llm-vtuber/bin/activate -``` - -Remember, you need to activate the virtual environment everytime you want to run Open-LLM-VTuber. - -### Using conda (if you have an incompatible python version) - -You will need to install `conda`. Go search for the way to install `anaconda` or `miniconda` for your OS. - -After installing conda, you can use the following commands to... - -```bash -# Create conda environment -conda create -p ./.conda python="3.10.4" -# Activate -conda activate ./.conda -``` - -Remember, you need to activate the virtual environment everytime you want to run Open-LLM-VTuber. - - - -## Step 3: Install Basic Dependencies - -```bash -pip install -r requirements.txt -``` - -If you encounter an error here, there are some possible reasons. - -- Python 3.13, which is incompatible. Check doc above. -- Internet issue. Users in China can't connect to pip package manager without configuring mirror or VPN. -- Dependency conflict with existing packages. See? this is what will happen if you don't use a virtual environment. -- Weird computer. Who knows. - -## Step 4: Setup the LLM - -You need an OpenAI-API-Compatible backend like Ollama, vLLM, LM Studio, Groq, OpenAI, or others. You can also use MemGPT for long-term memory (currently broken), but its setup is more complex. - -Configure your LLM in `conf.yaml`: - -```yaml -LLM_PROVIDER: "ollama" # put ollama for all openai compatible api - -ollama: - BASE_URL: "http://localhost:11434/v1" - MODEL: "llama3.1:latest" - # Other settings like LLM_API_KEY, ORGANIZATION_ID, PROJECT_ID might be needed depending on your LLM backend. -``` - -So this is LLM. - -## Step 5: Setup ASR (Automatic Speech Recognition) - -Supported options include FunASR, Faster-Whisper, Groq, and many more. See [Speech Recognition](../ASR) for detailed setup instructions of different ASR providers. - -Local options like FunASR with SenseVoiceSmall and Faster-Whisper offers good speed and accuracy. Groq API offers generous free limits. - -:::warning -Make sure your audio input device (a.k.a. your microphone) is configured properly in your browser. Use [this website](https://www.vad.ricky0123.com/) to check if your mic is working as expected. -::: - -:::warning macOS Users launching with main.py -Enable microphone permission for your terminal emulator to allow speech recognition access to your microphone. -::: - -This project supports a number of speech recognition. Check out the ASR section for installation instructions. - -In general, here are the steps to set up a speech recognition: - -1. Install the dependencies -2. Edit the configurations of the ASR you use in `conf.yaml`. You can usually change the language or model there if supported. -3. Set `ASR_MODEL` to the ASR of your choice. - -As of writing, this project supports the following ASR: - -- [FunASR](https://github.com/modelscope/FunASR), which support [SenseVoiceSmall](https://github.com/FunAudioLLM/SenseVoice) and some other models. (~~Local~~ Currently requires an internet connection for loading. Compute locally) -- [Faster-Whisper](https://github.com/SYSTRAN/faster-whisper) (Local) -- [Whisper-CPP](https://github.com/ggerganov/whisper.cpp) using the python binding [pywhispercpp](https://github.com/abdeladim-s/pywhispercpp) (Local, mac GPU acceleration can be configured) -- [Whisper](https://github.com/openai/whisper) (local) -- [Azure Speech Recognition](https://azure.microsoft.com/en-us/products/ai-services/speech-to-text) (API Key required) - - -## Step 6: Setup TTS - -See [Text to Speech](../TTS) for detailed setup instructions. Supported options include py3-tts, Bark, CosyVoice, MeloTTS, Edge TTS, and Azure Text-to-Speech. - -Set `TTS_MODEL` in `conf.yaml` to your chosen TTS. - -## Step 7: Run the Program - -For Live2D mode: - -1. Run `server.py` -2. Open `localhost:12393` (or the port specified in `conf.yaml`) in your browser -3. Wait for the Live2D model to load -4. Start talking - -For CLI mode without Live2D: - -- Run `main.py` - - -# Configuration Tips - -Key settings in `conf.yaml`: - -- `LIVE2D`: Enable/disable Live2D interface -- `VOICE_INPUT_ON`: Enable/disable voice input -- `MIC_IN_BROWSER`: Use browser microphone (important for remote server access) -- `TTS_ON`: Enable/disable text-to-speech -- `SAY_SENTENCE_SEPARATELY`: Control TTS behavior -- `PERSONA_CHOICE` and `DEFAULT_PERSONA_PROMPT_IN_YAML`: Customize AI personality -- `HOST` and `PORT`: Configure server settings -- `VERBOSE`: Enable detailed logging - -:::note -Some models will be downloaded during the first launch, which may take a while. -::: diff --git a/docs/Start/intro.md b/docs/Start/intro.md deleted file mode 100644 index bbfc31d..0000000 --- a/docs/Start/intro.md +++ /dev/null @@ -1,47 +0,0 @@ ---- -sidebar_position: 1 ---- - - -:::warning -If you see this message, I'm currently reconstructing this documentation. Information may not be completed, but it won't take long! --- (2024.11.09) -::: - - -# Introduction - -[Open-LLM-VTuber](https://github.com/t41372/Open-LLM-VTuber) allows you to talk to (and interrupt!) any LLM locally by voice (hands-free) with a Live2D talking face. The LLM inference backend, speech recognition, and speech synthesizer are all designed to be swappable. This project can be configured to run offline on macOS, Linux, and Windows. Online LLM/ASR/TTS options are also supported. - -Long-term memory with MemGPT can be configured to achieve perpetual chat, infinite* context length, and external data source. - -This project started as an attempt to recreate the closed-source AI VTuber `neuro-sama` with open-source alternatives that can run offline on platforms other than Windows. - -## Why this project? - -- It works on macOS - - Many existing solutions display Live2D models with VTube Studio and achieve lip sync by routing desktop internal audio into VTube Studio and controlling the lips with that. On macOS, however, there is no easy way to let VTuber Studio listen to internal audio on the desktop. - - Many existing solutions lack support for GPU acceleration on macOS, which makes them run slow on Mac. -- This project supports [MemGPT](https://github.com/cpacker/MemGPT) for perpetual chat. The chatbot remembers what you've said. -- No data leaves your computer if you wish to - - You can choose local LLM/voice recognition/speech synthesis solutions; everything works offline. Tested on macOS. -- You can interrupt the LLM anytime with your voice without wearing headphones. - -## Basic Features - -- Chat with any LLM by voice -- Interrupt LLM with voice at any time -- Choose your own LLM backend -- Choose your own Speech Recognition & Text to Speech provider -- Long-term memory -- Live2D frontend - -## Target Platforms - -- macOS -- Linux -- Windows - -:::warning -This project is in its early stages and is currently under **active development**. Features are unstable, code is messy, and breaking changes will occur. The main goal of this stage is to build a minimum viable prototype using technologies that are easy to integrate. -::: \ No newline at end of file diff --git a/docs/TTS/TTS.md b/docs/TTS/TTS.md deleted file mode 100644 index e69de29..0000000 diff --git a/docs/TTS/_category_.json b/docs/TTS/_category_.json deleted file mode 100644 index 789c038..0000000 --- a/docs/TTS/_category_.json +++ /dev/null @@ -1,8 +0,0 @@ -{ - "label": "Setup Text-to-Speech", - "position": 4, - "link": { - "type": "generated-index", - "description": "Start here and setup the Open LLM Vtuber project." - } -} diff --git a/docs/advanced/docker.md b/docs/advanced/docker.md deleted file mode 100644 index fe04586..0000000 --- a/docs/advanced/docker.md +++ /dev/null @@ -1,52 +0,0 @@ ---- -sidebar_position: 3 ---- - -# Docker Support - -:::warning -Docker support is highly experimental but functional in most cases. -::: - -## Docker Image - -You can either: -- Build the image yourself -- Pull from Docker Hub: [![](https://img.shields.io/badge/t41372%2FOpen--LLM--VTuber-%25230db7ed.svg?logo=docker&logoColor=blue&labelColor=white&color=blue)](https://hub.docker.com/r/t41372/open-llm-vtuber) - -## Current Limitations - -- Large image size (~20GB) - - Additional space needed for optional model downloads -- Nvidia GPU required (GPU passthrough limitation) -- Requires [Nvidia Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html) -- Some models require re-download after container stop -- Cannot build on ARM machines due to grpc dependency issues -- Requires HTTPS for remote server deployment due to web mic security requirements - -## Setup Guide - -1. Review `conf.yaml` before building (currently burned into image) - -2. Build the image: -```bash -docker build -t open-llm-vtuber . -``` - -3. Get configuration file: - - Download `conf.yaml` from the repository - - Or use this [direct link](https://raw.githubusercontent.com/t41372/Open-LLM-VTuber/main/conf.yaml) - -4. Run the container: -```bash -docker run -it --net=host --rm \ - -v $(pwd)/conf.yaml:/app/conf.yaml \ - -p 12393:12393 \ - open-llm-vtuber -``` - -5. Open `localhost:12393` to test - -:::note -Bark TTS and original OpenAI Whisper are not included by default due to size (~8GB). Add `--build-arg INSTALL_ORIGINAL_WHISPER=true --build-arg INSTALL_BARK=true` during build to include them. -::: \ No newline at end of file diff --git a/docs/advanced/mem0.md b/docs/advanced/mem0.md deleted file mode 100644 index 4c8613d..0000000 --- a/docs/advanced/mem0.md +++ /dev/null @@ -1,29 +0,0 @@ ---- -sidebar_position: 2 ---- - -# Mem0 - -:::warning -Mem0 is highly experimental and still in development. -::: - -## Overview - -Mem0 is an alternative long-term memory solution that aims to be simpler than MemGPT. - -### Advantages -- Easier setup compared to MemGPT -- Faster response times -- Lower resource requirements - -### Limitations -- Only remembers user preferences and thoughts -- Doesn't store LLM responses -- Inconsistent memory storage -- Sometimes stores incorrect information -- Requires LLM with strong function calling capabilities - -## Current Status - -This feature is under active development and not recommended for production use. \ No newline at end of file diff --git a/docs/advanced/memgpt.md b/docs/advanced/memgpt.md deleted file mode 100644 index e20e85f..0000000 --- a/docs/advanced/memgpt.md +++ /dev/null @@ -1,49 +0,0 @@ ---- -sidebar_position: 1 ---- - -# MemGPT Integration - -:::warning -MemGPT integration is experimental and requires significant setup. It also requires a powerful LLM (larger than 7B and quantization above Q5), which means slower response times. -::: - -:::caution -MemGPT has been renamed to Letta and made significant API changes. The current integration may be broken until updated. -::: - -## Overview - -[MemGPT](https://github.com/cpacker/MemGPT) enables LLM with long-term memory capabilities. It allows the LLM to: -- Remember past conversations -- Maintain context over long periods -- Access external data sources - -## Setup Requirements - -1. Install MemGPT in a separate environment due to dependency conflicts - ```bash - # Use a separate virtual environment or Docker - pip install memgpt - ``` - -2. Configure MemGPT according to their [documentation](https://memgpt.readme.io/docs/index) - -3. Launch the MemGPT server: - ```bash - memgpt server - ``` - -## Configuration Steps - -1. Set up an agent through MemGPT's CLI or web UI -2. Add your system prompt including: - - Live2D Expression Prompt - - Expression keywords from `model_dict.json` -3. Configure Open-LLM-VTuber: - - Copy server admin password and Agent ID to `./llm/memgpt_config.yaml` - - Set `LLM_PROVIDER: "memgpt"` in `conf.yaml` - -:::note -When using MemGPT, all other LLM-related configurations in `conf.yaml` are ignored. -::: \ No newline at end of file diff --git a/docs/api-reference/_category_.json b/docs/api-reference/_category_.json new file mode 100644 index 0000000..8bac643 --- /dev/null +++ b/docs/api-reference/_category_.json @@ -0,0 +1,8 @@ +{ + "label": "API", + "position": 4, + "link": { + "type": "generated-index", + "description": "API 参考" + } +} \ No newline at end of file diff --git a/docs/api-reference/backend-api/_category_.json b/docs/api-reference/backend-api/_category_.json new file mode 100644 index 0000000..45067b0 --- /dev/null +++ b/docs/api-reference/backend-api/_category_.json @@ -0,0 +1,8 @@ +{ + "label": "backend", + "position": 1, + "link": { + "type": "generated-index", + "description": "backend API" + } +} \ No newline at end of file diff --git a/docs/api-reference/backend-api/agent.md b/docs/api-reference/backend-api/agent.md new file mode 100644 index 0000000..853a6c7 --- /dev/null +++ b/docs/api-reference/backend-api/agent.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 8 +--- + +# agent \ No newline at end of file diff --git a/docs/api-reference/backend-api/asr.md b/docs/api-reference/backend-api/asr.md new file mode 100644 index 0000000..4279e52 --- /dev/null +++ b/docs/api-reference/backend-api/asr.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 6 +--- + +# asr \ No newline at end of file diff --git a/docs/api-reference/backend-api/chat-history.md b/docs/api-reference/backend-api/chat-history.md new file mode 100644 index 0000000..40da3f7 --- /dev/null +++ b/docs/api-reference/backend-api/chat-history.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 11 +--- + +# chat_history_manager \ No newline at end of file diff --git a/docs/api-reference/backend-api/config-manager.md b/docs/api-reference/backend-api/config-manager.md new file mode 100644 index 0000000..62d1674 --- /dev/null +++ b/docs/api-reference/backend-api/config-manager.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 4 +--- + +# config_manager \ No newline at end of file diff --git a/docs/api-reference/backend-api/conversation.md b/docs/api-reference/backend-api/conversation.md new file mode 100644 index 0000000..837c3a4 --- /dev/null +++ b/docs/api-reference/backend-api/conversation.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 5 +--- + +# conversation \ No newline at end of file diff --git a/docs/api-reference/backend-api/llm.md b/docs/api-reference/backend-api/llm.md new file mode 100644 index 0000000..52464c5 --- /dev/null +++ b/docs/api-reference/backend-api/llm.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 7 +--- + +# llm \ No newline at end of file diff --git a/docs/LLM/LLM.md b/docs/api-reference/backend-api/overview.md similarity index 64% rename from docs/LLM/LLM.md rename to docs/api-reference/backend-api/overview.md index 7346415..8365f79 100644 --- a/docs/LLM/LLM.md +++ b/docs/api-reference/backend-api/overview.md @@ -2,4 +2,4 @@ sidebar_position: 1 --- -# Setting up LLM \ No newline at end of file +# overview \ No newline at end of file diff --git a/docs/api-reference/backend-api/service-context.md b/docs/api-reference/backend-api/service-context.md new file mode 100644 index 0000000..e6b2985 --- /dev/null +++ b/docs/api-reference/backend-api/service-context.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 3 +--- + +# serivce_context \ No newline at end of file diff --git a/docs/api-reference/backend-api/translate.md b/docs/api-reference/backend-api/translate.md new file mode 100644 index 0000000..4b1b655 --- /dev/null +++ b/docs/api-reference/backend-api/translate.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 10 +--- + +# translate \ No newline at end of file diff --git a/docs/api-reference/backend-api/tts.md b/docs/api-reference/backend-api/tts.md new file mode 100644 index 0000000..d10722a --- /dev/null +++ b/docs/api-reference/backend-api/tts.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 9 +--- + +# tts \ No newline at end of file diff --git a/docs/api-reference/backend-api/websocket.md b/docs/api-reference/backend-api/websocket.md new file mode 100644 index 0000000..1d84069 --- /dev/null +++ b/docs/api-reference/backend-api/websocket.md @@ -0,0 +1,11 @@ +--- +sidebar_position: 2 +--- + +# websocket + +## connection + +## message + +## handler \ No newline at end of file diff --git a/docs/api-reference/frontend-api/_category_.json b/docs/api-reference/frontend-api/_category_.json new file mode 100644 index 0000000..eceb38e --- /dev/null +++ b/docs/api-reference/frontend-api/_category_.json @@ -0,0 +1,8 @@ +{ + "label": "frontend", + "position": 2, + "link": { + "type": "generated-index", + "description": "frontend API" + } +} \ No newline at end of file diff --git a/docs/api-reference/frontend-api/components.md b/docs/api-reference/frontend-api/components.md new file mode 100644 index 0000000..4b87cb7 --- /dev/null +++ b/docs/api-reference/frontend-api/components.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 1 +--- + +# components \ No newline at end of file diff --git a/docs/api-reference/frontend-api/context/_category_.json b/docs/api-reference/frontend-api/context/_category_.json new file mode 100644 index 0000000..09d48a8 --- /dev/null +++ b/docs/api-reference/frontend-api/context/_category_.json @@ -0,0 +1,8 @@ +{ + "label": "context", + "position": 2, + "link": { + "type": "generated-index", + "description": "context" + } +} \ No newline at end of file diff --git a/docs/api-reference/frontend-api/context/ai-state.md b/docs/api-reference/frontend-api/context/ai-state.md new file mode 100644 index 0000000..232951a --- /dev/null +++ b/docs/api-reference/frontend-api/context/ai-state.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 1 +--- + +# ai-state-context \ No newline at end of file diff --git a/docs/api-reference/frontend-api/context/background.md b/docs/api-reference/frontend-api/context/background.md new file mode 100644 index 0000000..ec417c4 --- /dev/null +++ b/docs/api-reference/frontend-api/context/background.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 2 +--- + +# background-context \ No newline at end of file diff --git a/docs/api-reference/frontend-api/context/camera.md b/docs/api-reference/frontend-api/context/camera.md new file mode 100644 index 0000000..3415106 --- /dev/null +++ b/docs/api-reference/frontend-api/context/camera.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 3 +--- + +# camera-context \ No newline at end of file diff --git a/docs/api-reference/frontend-api/context/character-config-context.md b/docs/api-reference/frontend-api/context/character-config-context.md new file mode 100644 index 0000000..089d897 --- /dev/null +++ b/docs/api-reference/frontend-api/context/character-config-context.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 4 +--- + +# character-config-context \ No newline at end of file diff --git a/docs/api-reference/frontend-api/context/chat-history.md b/docs/api-reference/frontend-api/context/chat-history.md new file mode 100644 index 0000000..cef33f1 --- /dev/null +++ b/docs/api-reference/frontend-api/context/chat-history.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 5 +--- + +# chat-history-context \ No newline at end of file diff --git a/docs/api-reference/frontend-api/context/live2d-config.md b/docs/api-reference/frontend-api/context/live2d-config.md new file mode 100644 index 0000000..f6248ec --- /dev/null +++ b/docs/api-reference/frontend-api/context/live2d-config.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 6 +--- + +# live2d-config-context \ No newline at end of file diff --git a/docs/api-reference/frontend-api/context/live2d-model.md b/docs/api-reference/frontend-api/context/live2d-model.md new file mode 100644 index 0000000..a697694 --- /dev/null +++ b/docs/api-reference/frontend-api/context/live2d-model.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 7 +--- + +# live2d-model-context \ No newline at end of file diff --git a/docs/api-reference/frontend-api/context/proactive-speak-context.md b/docs/api-reference/frontend-api/context/proactive-speak-context.md new file mode 100644 index 0000000..aa38728 --- /dev/null +++ b/docs/api-reference/frontend-api/context/proactive-speak-context.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 8 +--- + +# proactive-speak-context \ No newline at end of file diff --git a/docs/api-reference/frontend-api/context/subtitle.md b/docs/api-reference/frontend-api/context/subtitle.md new file mode 100644 index 0000000..751e050 --- /dev/null +++ b/docs/api-reference/frontend-api/context/subtitle.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 9 +--- + +# subtitle-context \ No newline at end of file diff --git a/docs/api-reference/frontend-api/context/vad.md b/docs/api-reference/frontend-api/context/vad.md new file mode 100644 index 0000000..c9f9520 --- /dev/null +++ b/docs/api-reference/frontend-api/context/vad.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 10 +--- + +# vad-context \ No newline at end of file diff --git a/docs/api-reference/frontend-api/context/websocket-context.md b/docs/api-reference/frontend-api/context/websocket-context.md new file mode 100644 index 0000000..519421d --- /dev/null +++ b/docs/api-reference/frontend-api/context/websocket-context.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 11 +--- + +# websocket-context \ No newline at end of file diff --git a/docs/api-reference/frontend-api/electron-main.md b/docs/api-reference/frontend-api/electron-main.md new file mode 100644 index 0000000..e484112 --- /dev/null +++ b/docs/api-reference/frontend-api/electron-main.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 4 +--- + +# electron-main \ No newline at end of file diff --git a/docs/api-reference/frontend-api/electron-preload.md b/docs/api-reference/frontend-api/electron-preload.md new file mode 100644 index 0000000..908cd2f --- /dev/null +++ b/docs/api-reference/frontend-api/electron-preload.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 5 +--- + +# electron-preload \ No newline at end of file diff --git a/docs/api-reference/frontend-api/hooks/_category_.json b/docs/api-reference/frontend-api/hooks/_category_.json new file mode 100644 index 0000000..2525281 --- /dev/null +++ b/docs/api-reference/frontend-api/hooks/_category_.json @@ -0,0 +1,8 @@ +{ + "label": "hooks", + "position": 3, + "link": { + "type": "generated-index", + "description": "hooks" + } +} \ No newline at end of file diff --git a/docs/api-reference/frontend-api/hooks/canvas.md b/docs/api-reference/frontend-api/hooks/canvas.md new file mode 100644 index 0000000..a64d0ba --- /dev/null +++ b/docs/api-reference/frontend-api/hooks/canvas.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 1 +--- + +# canvas \ No newline at end of file diff --git a/docs/api-reference/frontend-api/hooks/footer.md b/docs/api-reference/frontend-api/hooks/footer.md new file mode 100644 index 0000000..401126c --- /dev/null +++ b/docs/api-reference/frontend-api/hooks/footer.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 5 +--- + +# footer \ No newline at end of file diff --git a/docs/LLM/MemGPT.md b/docs/api-reference/frontend-api/hooks/live2d.md similarity index 76% rename from docs/LLM/MemGPT.md rename to docs/api-reference/frontend-api/hooks/live2d.md index 208b11f..c318a45 100644 --- a/docs/LLM/MemGPT.md +++ b/docs/api-reference/frontend-api/hooks/live2d.md @@ -2,4 +2,4 @@ sidebar_position: 2 --- -# MemGPT +# live2d \ No newline at end of file diff --git a/docs/api-reference/frontend-api/hooks/setting.md b/docs/api-reference/frontend-api/hooks/setting.md new file mode 100644 index 0000000..1042055 --- /dev/null +++ b/docs/api-reference/frontend-api/hooks/setting.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 4 +--- + +# setting \ No newline at end of file diff --git a/docs/api-reference/frontend-api/hooks/sidebar.md b/docs/api-reference/frontend-api/hooks/sidebar.md new file mode 100644 index 0000000..a4bf195 --- /dev/null +++ b/docs/api-reference/frontend-api/hooks/sidebar.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 3 +--- + +# sidebar \ No newline at end of file diff --git a/docs/api-reference/frontend-api/hooks/utils.md b/docs/api-reference/frontend-api/hooks/utils.md new file mode 100644 index 0000000..0d67e29 --- /dev/null +++ b/docs/api-reference/frontend-api/hooks/utils.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 6 +--- + +# utils \ No newline at end of file diff --git a/docs/community/_category_.json b/docs/community/_category_.json new file mode 100644 index 0000000..c42c9d7 --- /dev/null +++ b/docs/community/_category_.json @@ -0,0 +1,8 @@ +{ + "label": "社区与贡献", + "position": 5, + "link": { + "type": "generated-index", + "description": "Developer documentation for Open LLM Vtuber" + } +} \ No newline at end of file diff --git a/docs/community/contact.md b/docs/community/contact.md new file mode 100644 index 0000000..da62be1 --- /dev/null +++ b/docs/community/contact.md @@ -0,0 +1,6 @@ +--- +sidebar_position: 1 +--- + +# 参与讨论 + diff --git a/docs/community/contribute.md b/docs/community/contribute.md new file mode 100644 index 0000000..6cc42f3 --- /dev/null +++ b/docs/community/contribute.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 2 +--- + +# 贡献指南 \ No newline at end of file diff --git a/docs/development/contributing.md b/docs/development/contributing.md deleted file mode 100644 index 157fe83..0000000 --- a/docs/development/contributing.md +++ /dev/null @@ -1,49 +0,0 @@ ---- -sidebar_position: 1 ---- - -# Development Guide - -This project is in active prototyping stage, so expect frequent changes. - -## Common Abbreviations - -- LLM: Large Language Model -- TTS: Text-to-Speech, Speech Synthesis, Voice Synthesis -- ASR: Automatic Speech Recognition, Speech to Text, STT -- VAD: Voice Activation Detection - -## Technical Notes - -### Sample Rates -- Default sample rate is `16000` throughout the project -- Frontend streams chunks of `Float32Array` at 16000Hz to backend - -## Adding New Features - -### New TTS Providers -1. Implement `TTSInterface` from `tts/tts_interface.py` -2. Add provider to `tts_factory` -3. Add configuration to `conf.yaml` - - The dict with matching name passes as kwargs to TTSEngine constructor - -### New Speech Recognition Providers -1. Implement `ASRInterface` from `asr/asr_interface.py` -2. Add provider to `asr_factory` -3. Add configuration to `conf.yaml` - - The dict with matching name passes as kwargs to constructor - -### New LLM Providers -1. Implement `LLMInterface` from `llm/llm_interface.py` -2. Add provider to `llm_factory` -3. Add configuration to `conf.yaml` - - The dict with matching name passes as kwargs to constructor - -## Acknowledgements - -Projects that inspired this work: -- [GlaDOS](https://github.com/dnhkng/GlaDOS) -- [unsuperior-ai-waifu](https://github.com/SchwabischesBauernbrot/unsuperior-ai-waifu) -- [pixi-live2d-display demo](https://codepen.io/guansss/pen/oNzoNoz) -- [AI-Vtuber](https://github.com/Ikaros-521/AI-Vtuber) -- [Digital_Life_Server](https://github.com/zixiiu/Digital_Life_Server) \ No newline at end of file diff --git a/docs/features/live2d.md b/docs/features/live2d.md deleted file mode 100644 index b968e6c..0000000 --- a/docs/features/live2d.md +++ /dev/null @@ -1,37 +0,0 @@ ---- -sidebar_position: 4 ---- - -# Live2D Integration - -Open-LLM-VTuber uses Live2D to provide a visual avatar that responds to the conversation. - -## Technical Details - -- Uses [guansss/pixi-live2d-display](https://github.com/guansss/pixi-live2d-display) for Live2D rendering -- Runs in browser with WebSocket communication -- Can work offline with locally stored models -- Supports both local and URL-based model loading - -## Running Live2D - -1. Run `server.py` to start the WebSocket server -2. Open `localhost:12393` in your browser (port configurable in `conf.yaml`) -3. Wait for the Live2D model to load - -## Model Configuration - -- Models are configured in `model_dict.json` -- Local models should be stored in `live2d-models` directory -- Models can be loaded from URLs or local storage -- The default `shizuku-local` model works offline - -## Expression Control - -- Expression keywords in LLM responses control facial expressions -- Keywords are automatically loaded into system prompt -- Keywords are excluded from speech synthesis output - -:::note -For loading your own Live2D models locally, refer to `doc/live2d.md` in the project repository. -::: \ No newline at end of file diff --git a/docs/features/llm-backends.md b/docs/features/llm-backends.md deleted file mode 100644 index 86ab095..0000000 --- a/docs/features/llm-backends.md +++ /dev/null @@ -1,52 +0,0 @@ ---- -sidebar_position: 3 ---- - -# LLM Backends - -Open-LLM-VTuber supports multiple LLM backends. The main options are: -1. Any OpenAI-API compatible backend -2. MemGPT (for long-term memory) - -## OpenAI-Compatible Backends - -You can use any LLM backend that implements the OpenAI API format, including: -- Ollama -- Groq -- LM Studio -- OpenAI -- And more... - -### Configuration - -Edit the following settings in `conf.yaml`: - -```yaml -# ============== LLM Backend Settings =================== - -# Provider of LLM. Choose either "ollama" or "memgpt" -LLM_PROVIDER: "ollama" - -# Ollama & OpenAI Compatible inference backend -ollama: - BASE_URL: "http://localhost:11434/v1" - LLM_API_KEY: "somethingelse" # Optional - ORGANIZATION_ID: "org_eternity" # Optional - PROJECT_ID: "project_glass" # Optional - MODEL: "llama3.1:latest" - VERBOSE: False -``` - -:::tip -If you don't use `LLM_API_KEY`, `ORGANIZATION_ID`, and `PROJECT_ID`, you can leave them as default. -::: - -## Quick Start Without Voice - -If you want to test the LLM integration without voice or Live2D: -1. Set these options to `False` in `conf.yaml`: - - `LIVE2D` - - `VOICE_INPUT_ON` - - `TTS_ON` -2. This will allow you to interact with the LLM through text only -3. Remember to turn these features back on later \ No newline at end of file diff --git a/docs/features/translation.md b/docs/features/translation.md deleted file mode 100644 index 0b52717..0000000 --- a/docs/features/translation.md +++ /dev/null @@ -1,28 +0,0 @@ ---- -sidebar_position: 5 ---- - -# Translation - -Open-LLM-VTuber supports translation to allow the LLM to speak in a different language than the conversation language. For example, you can: -- Have the LLM think in English -- Display English subtitles -- Speak to it in English -- But have it respond in Japanese audio - -This is achieved by translating the text before audio generation. - -## DeepLX Translation - -Currently, DeepLX is the only supported translation backend. More providers will be implemented in the future. - -### Enabling Translation - -1. Set `TRANSLATE_AUDIO` to `True` in `conf.yaml` -2. Configure `DEEPLX_TARGET_LANG` to your desired language - - Make sure this matches your TTS speaker's language - - For example, if `DEEPLX_TARGET_LANG` is "JA" (Japanese), the TTS should be configured for Japanese speech - -:::tip -This feature is useful for creating multilingual VTubers or practicing language learning! -::: \ No newline at end of file diff --git a/docs/intro.md b/docs/intro.md new file mode 100644 index 0000000..9ea8392 --- /dev/null +++ b/docs/intro.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 1 +--- + +# 项目简介 diff --git a/docs/original_doc/Installation_guide.md b/docs/original_doc/Installation_guide.md deleted file mode 100644 index ca1f440..0000000 --- a/docs/original_doc/Installation_guide.md +++ /dev/null @@ -1,255 +0,0 @@ -Welcome - - - -This is [Open-LLM-VTuber](https://github.com/t41372/Open-LLM-VTuber), an application that allows you to talk to (and interrupt) any LLM by voice (hands-free) locally with a Live2D talking face. - - - -> ⚠️ This project is in its early stages and is currently under **active development**. Features are unstable, code is messy, and breaking changes will occur. The main goal of this stage is to build a minimum viable prototype using technologies that are easy to integrate. - -> ⚠️ If you want to run this program on a server and access it remotely on your laptop, the microphone on the front end will only launch in a secure context (a.k.a. https or localhost). See [MDN Web Doc](https://developer.mozilla.org/en-US/docs/Web/API/MediaDevices/getUserMedia). Therefore, you might want to either configure https with a reverse proxy or launch the front end locally and connects to the server via websocket (untested). Open the `static/index.html` with your browser and set the ws url on the page. - - - -⚠️ This project is not very easy to setup at this moment. The modularity and the fact that this is a Python project that uses a ton of AI stuffs that needs to be executed locally creates a lot of headaches. I'm working on an installation script with recommended configuration to simplified the process, but it's not complete yet. - - - -## Prerequisite - -Have `ffmpeg` installed on your computer. - -Python version >= 3.10, < 3.13 `(there are currently dependencies installation issues in Python 3.13. If you encounter that, just go 3.12 or lower and it should work)` - - - -### Basic knowledge - -All of the settings are in `conf.yaml`. You can (and probably will) do many things there, and there are also comments in that file explaining what those settings mean. - - - -## Setup steps - -1. Clone the repo -2. [optional] create a virtual environment like conda or venv for this project -3. Install *basic* dependencies with `pip install -r requirements.txt` -4. Setup the LLM -5. Setup your desired ASR (Automatic Speech Recognition) -6. Setup your desired TTS (Text to Speech) -7. Run it - - - - - -## Step 1: Download the repo - -Find a good spot in your computer and clone the repository or download the latest release. - -~~~sh -git clone https://github.com/t41372/Open-LLM-VTuber -~~~ - -Nice. ~~now go to github and star this project if you haven't done so or you'll &*&Eujehruedjhnoeire4939*#pE$~~ - - - -## Step 2: [optional] Create a virtual environment for this project - -It is optional, yet I *highly* recommend you to create a virtual environment for this project. - -This project was developed using Python `3.10.13`. Python 3.11 is tested. Some other versions will probably work too, but they are untested. - -#### If you don't know what virtual environment is, here is a quick explaination: - -> A Python virtual environment (venv) is a folder that contains the Python interpreter, third-party libraries, and other scripts. Venvs are isolated from other virtual environments, so changes to dependencies don't affect other virtual environments or system-wide libraries. -> -> -- [dataquest](https://www.dataquest.io/blog/a-complete-guide-to-python-virtual-environments/) - -#### Why? - -The reason why I highly recommend you use a virtual environment for this project is because this will make your life a ton easier. This project uses a lot of dependencies, and dependency conflicts happen very often. Use a virtual environment to isolate them saves your hair. - -#### Venv - -If you don't know what conda is, we can use `venv`, which is built in to python and is pretty nice. - -~~~bash -# create a virtual environment -python -m venv open-llm-vtuber -~~~ - -To activate the virtual environment, run the following command: - -**On Windows** - -```bash -open-llm-vtuber\Scripts\activate -``` - -**On macOS/Linux** - -```bash -source open-llm-vtuber/bin/activate -``` - - - -#### or conda - -If you know what conda is, then you know what to do. Here is the command I personally use. If you don't know what conda is, I recommend you use `venv`. - -~~~sh -# create a conda environment in project directory -conda create -p ./.conda python="3.10.4" -# activate this environment -conda activate ./.conda -~~~ - - - - - -## Step 3: Install basic dependencies - -Run the following in the root directory of this project to install the dependencies. - -~~~shell -pip install -r requirements.txt # Run this in the project directory -~~~ - - - - - -## Step 4: Set up the LLM - -You need to have [Ollama](https://github.com/jmorganca/ollama) or any other OpenAI-API-Compatible backend ready and running. You can use llama.cpp, vLLM, LM Studio, groq, OpenAI, and so much more. - -#### MemGPT - -If you want to use long-term memory with MemGPT, you will set MemGPT as your LLM backend instead of the ones mentioned above. Check out MemGPT section for more information (it's not very easy unless you already know how to run MemGPT, so I recommend you start with ollama or other OpenAI-Compatible LLM backend instead). - - - -#### Ollama and OpenAI Compatible LLM Backend - -Prepare the LLM of your choice and have the LLM inference server like ollama running. - -In `conf.yaml` file, under the option `ollama`, you can edit the configuration for all OpenAI Compatible LLM inference backend. - -Here is the setting in `conf.yaml` - -~~~yaml -# ============== LLM Backend Settings =================== - -# Provider of LLM. Choose either "ollama" or "memgpt" (or "fakellm for debug purposes") -# "ollama" for any OpenAI Compatible backend. "memgpt" requires setup -LLM_PROVIDER: "ollama" - - -# Ollama & OpenAI Compatible inference backend -ollama: - BASE_URL: "http://localhost:11434/v1" - LLM_API_KEY: "somethingelse" - ORGANIZATION_ID: "org_eternity" - PROJECT_ID: "project_glass" - ## LLM name - MODEL: "llama3.1:latest" - # system prompt is at the very end of this file - VERBOSE: False - -~~~ - -If you don't use `LLM_API_KEY`, `ORGANIZATION_ID`, and `PROJECT_ID`, just leave them as it is. - - - -If you are so excited right now that you want to try this project without voice interactions, you can set `LIVE2D`, `VOICE_INPUT_ON`, and `TTS_ON` to `False` in the `conf.yaml` to talk with the LLM by typing with no voice nor Live2D. Remeber to turn them back on later on. - - - -## Step 5: Set up Automatic Speech Recognition (ASR) - -This project supports a number of speech recognition. Check out the ASR section for installation instructions. - -In general, here are the steps to set up a speech recognition: - -1. Install the dependencies -2. Edit the configurations of the ASR you use in `conf.yaml`. You can usually change the language or model there if supported. -3. Set `ASR_MODEL` to the ASR of your choice. - -As of writing, this project supports the following ASR: - -- [FunASR](https://github.com/modelscope/FunASR), which support [SenseVoiceSmall](https://github.com/FunAudioLLM/SenseVoice) and some other models. (~~Local~~ Currently requires an internet connection for loading. Compute locally) -- [Faster-Whisper](https://github.com/SYSTRAN/faster-whisper) (Local) -- [Whisper-CPP](https://github.com/ggerganov/whisper.cpp) using the python binding [pywhispercpp](https://github.com/abdeladim-s/pywhispercpp) (Local, mac GPU acceleration can be configured) -- [Whisper](https://github.com/openai/whisper) (local) -- [Azure Speech Recognition](https://azure.microsoft.com/en-us/products/ai-services/speech-to-text) (API Key required) - -#### Some recommendations: - -If you don't care it connects to the internet on launch (will be fixed in the future), I recommend FunASR with SenseVoiceSmall. It's very fast and the accuracy is pretty good. - -If you want something that works offline, I recommend Faster-Whisper if you have an Nvidia GPU, and Whisper-CPP with coreML accleration if you are using macOS. - -You can also use Azure Speech Recognition if you happen to have the API key. - - - -> ⚠️ If you want to run this application (the server) inside a container or on a remote machine and access the webui with local device, you need to turn `MIC_IN_BROWSER` to True in the `conf.yaml`. There are more things you need to consider and it's at the top of this page. - - - - - -## Step 6: Set up Text-To-Speech (TTS) - -Check out TTS section for instruction of setting up the TTS you want. - -In general, here are the steps to set up a text to speech service: - -1. Install the dependencies -2. Edit the configurations of the TTS you use in `conf.yaml`. You can usually change the language or speakers there if supported. -3. Set `TTS_MODEL` to the TTS of your choice. - -Here are some supported TTS as of writing: - -- [py3-tts](https://github.com/thevickypedia/py3-tts) (Local, it uses your system's default TTS engine) -- [bark](https://github.com/suno-ai/bark) (Local, very resource-consuming) -- [CosyVoice](https://github.com/FunAudioLLM/CosyVoice) (Local, very resource-consuming) -- MeloTTS (local, fast) -- [Edge TTS](https://github.com/rany2/edge-tts) (online, no API key required) -- [Azure Text-to-Speech](https://azure.microsoft.com/en-us/products/ai-services/text-to-speech) (online, API Key required) - - - - - -## Step 7: Run the program - -For now, if you are using live2D and everything we mentioned above, here are the steps to run the program: - -1. Run `server.py` -2. Open `localhost:12393` with your browser (default but you can change it in conf.yaml) -3. ~~Run `main.py`~~ (no longer needed) -4. Talk to the LLM once the Live2D model is loaded. - -If you just want to talk and don't want the Live2D and browser that kind of stuff, you can just run the `main.py` for cli mode. - - -Some related settings in `conf.yaml` you might be interested: - -- Turn off the live2D (and the webui so you don't need the server.py) at `LIVE2D` -- Turn off Speech Recognition and start typing in the terminal at `VOICE_INPUT_ON` -- Let the mic listen in the browser instead of the terminal at `MIC_IN_BROWSER` -- Turn off TTS at `TTS_ON` -- Get TTS speaks everything at once at `SAY_SENTENCE_SEPARATELY` -- Change/Edit persona prompt at `PERSONA_CHOICE` and `DEFAULT_PERSONA_PROMPT_IN_YAML` -- Change the host and port that the server is listening to at `HOST` and `PORT` -- and `VERBOSE` - - -Some models will be downloaded during your first launch, which may take a while. \ No newline at end of file diff --git a/docs/original_doc/README-open-llm-vtuber.md b/docs/original_doc/README-open-llm-vtuber.md deleted file mode 100644 index ed09862..0000000 --- a/docs/original_doc/README-open-llm-vtuber.md +++ /dev/null @@ -1,465 +0,0 @@ -# Open-LLM-VTuber - -[中文](https://github.com/t41372/Open-LLM-VTuber/blob/main/README.CN.md) - -[![GitHub release](https://img.shields.io/github/v/release/t41372/Open-LLM-VTuber)](https://github.com/t41372/Open-LLM-VTuber/releases) -[![license](https://img.shields.io/github/license/t41372/Open-LLM-VTuber)](https://github.com/t41372/Open-LLM-VTuber/blob/master/LICENSE) -[![](https://img.shields.io/badge/t41372%2FOpen--LLM--VTuber-%25230db7ed.svg?logo=docker&logoColor=blue&labelColor=white&color=blue)](https://hub.docker.com/r/t41372/open-llm-vtuber) -[![](https://img.shields.io/badge/todo_list-GitHub_Project-blue)](https://github.com/users/t41372/projects/1/views/1) - -[![BuyMeACoffee](https://img.shields.io/badge/Buy%20Me%20a%20Coffee-ffdd00?style=for-the-badge&logo=buy-me-a-coffee&logoColor=black)](https://www.buymeacoffee.com/yi.ting) [![](https://dcbadge.limes.pink/api/server/3UDA8YFDXx)](https://discord.gg/3UDA8YFDXx) - - -(QQ群: 792615362) - -> User Survey: https://forms.gle/w6Y6PiHTZr1nzbtWA -> -> 调查问卷(中文)(现在不用登入了): https://wj.qq.com/s2/16150415/f50a/ - - -> :warning: **Read this if you are updating from an old version without the voice interruption feature**: -> The latest version changed how to open the live2d server and the backend: `server.py` now launches everything it needs (except the browser). To run with Live2D and the browser, launch `server.py` and open the web page in the browser. You no longer need to run `main.py` with the `server.py`. Running `server.py` assumes Live2D mode with the browser, and running `main.py` assumes no Live2D mode without the browser. In addition, options `MIC-IN-BROWSER` and `LIVE2D` in the configuration file no longer have any effects and have been deprecated due to the changes in the backend. - -> :warning: This project is in its early stages and is currently under **active development**. Features are unstable, code is messy, and breaking changes will occur. The main goal of this stage is to build a minimum viable prototype using technologies that are easy to integrate. - -> :warning: This project currently **has a lot of issues on Windows**. In theory, it should all work, but many people using Windows have many problems with many dependencies. I might fix those features in the future, but Windows support currently requires testing and debugging. If you have a Mac or a Linux machine, use them instead for the time being. Join the Discord server if you need help or to get updates about this project. - -> :warning: If you want to run this program on a server and access it remotely on your laptop, the microphone on the front end will only launch in a secure context (a.k.a. https or localhost). See [MDN Web Doc](https://developer.mozilla.org/en-US/docs/Web/API/MediaDevices/getUserMedia). Therefore, you might want to configure https with a reverse proxy if you want to access the page on a remote machine (non-localhost). - - -### What is this project? - - -Open-LLM-VTuber allows you to talk to (and interrupt!) any LLM locally by voice (hands-free) with a Live2D talking face. The LLM inference backend, speech recognition, and speech synthesizer are all designed to be swappable. This project can be configured to run offline on macOS, Linux, and Windows. Online LLM/ASR/TTS options are also supported. - -Long-term memory with MemGPT can be configured to achieve perpetual chat, infinite* context length, and external data source. - -This project started as an attempt to recreate the closed-source AI VTuber `neuro-sama` with open-source alternatives that can run offline on platforms other than Windows. - - -demo-image - - - -### Demo - -English demo: - -https://github.com/user-attachments/assets/1a147c4c-68e6-4248-a429-47ef286cc9c8 - - - -中文 demo: - -[BiliBili](https://www.bilibili.com/video/BV1krHUeRE98/), [YouTube](https://youtu.be/cb5anPTNklw) - - - - - -### Why this project and not other similar projects on GitHub? -- It works on macOS - - Many existing solutions display Live2D models with VTube Studio and achieve lip sync by routing desktop internal audio into VTube Studio and controlling the lips with that. On macOS, however, there is no easy way to let VTuber Studio listen to internal audio on the desktop. - - Many existing solutions lack support for GPU acceleration on macOS, which makes them run slow on Mac. -- This project supports [MemGPT](https://github.com/cpacker/MemGPT) for perpetual chat. The chatbot remembers what you've said. -- No data leaves your computer if you wish to - - You can choose local LLM/voice recognition/speech synthesis solutions; everything works offline. Tested on macOS. -- You can interrupt the LLM anytime with your voice without wearing headphones. - - - - - - -### Basic Features -- [x] Chat with any LLM by voice -- [x] Interrupt LLM with voice at any time -- [x] Choose your own LLM backend -- [x] Choose your own Speech Recognition & Text to Speech provider -- [x] Long-term memory -- [x] Live2D frontend - -### Target Platform -- macOS -- Linux -- Windows - -### Recent Feature Updates -- [Sep 17, 2024] Added DeepLX translation to change the language for audio -- [Sep 6, 2024] Added GroqWhisperASR -- [Sep 5, 2024] Better Docker support -- [Sep 1, 2024] Added voice interruption (and refactored the backend) -- [Jul 15, 2024] Added MeloTTS -- [Jul 15, 2024] Refactored llm and launch.py and reduced TTS latency -- [Jul 11, 2024] Added CosyVoiceTTS -- [Jul 11, 2024] Added FunASR with SenseVoiceSmall speech recognition model. -- [Jul 7, 2024] Totally untested Docker support with Nvidia GPU passthrough (no Mac, no AMD) -- [Jul 6, 2024] Support for Chinese 支持中文 and probably some other languages... -- [Jul 6, 2024] WhisperCPP with macOS GPU acceleration. Dramatically decreased latency on Mac -- ... - -## Implemented Features - -- Talk to LLM with voice. Offline. -- ~~RAG on chat history~~ *(temporarily removed)* - -Currently supported LLM backend -- Any OpenAI-API-compatible backend, such as Ollama, Groq, LM Studio, OpenAI, and more. -- MemGPT (setup required) - -Currently supported Speech recognition backend -- [FunASR](https://github.com/modelscope/FunASR), which support [SenseVoiceSmall](https://github.com/FunAudioLLM/SenseVoice) and many other models. (~~Local~~ Currently requires an internet connection for loading. Compute locally) -- [Faster-Whisper](https://github.com/SYSTRAN/faster-whisper) (Local) -- [Whisper-CPP](https://github.com/ggerganov/whisper.cpp) using the python binding [pywhispercpp](https://github.com/abdeladim-s/pywhispercpp) (Local, mac GPU acceleration can be configured) -- [Whisper](https://github.com/openai/whisper) (local) -- [Groq Whisper](https://groq.com/) (API Key required). This is a hosted Whisper endpoint, which is fast and has a generous free limit every day. -- [Azure Speech Recognition](https://azure.microsoft.com/en-us/products/ai-services/speech-to-text) (API Key required) -- The microphone in the server terminal will be used by default. You can change the setting `MIC_IN_BROWSER` in the `conf.yaml` to move the microphone (and voice activation detection) to the browser (at the cost of latency, for now). You might want to use the microphone on your client (the browser) rather than the one on your server if you run the backend on a different machine or inside a VM or docker. - -Currently supported Text to Speech backend -- [py3-tts](https://github.com/thevickypedia/py3-tts) (Local, it uses your system's default TTS engine) -- [meloTTS](https://github.com/myshell-ai/MeloTTS) (Local, fast) -- [Coqui-TTS](https://github.com/idiap/coqui-ai-TTS) (Local, speed depends on the model you run.) -- [bark](https://github.com/suno-ai/bark) (Local, very resource-consuming) -- [CosyVoice](https://github.com/FunAudioLLM/CosyVoice) (Local, very resource-consuming) -- [xTTSv2](https://github.com/daswer123/xtts-api-server) (Local, very resource-consuming) -- [Edge TTS](https://github.com/rany2/edge-tts) (online, no API key required) -- [Azure Text-to-Speech](https://azure.microsoft.com/en-us/products/ai-services/text-to-speech) (online, API Key required) - -Fast Text Synthesis -- Synthesize sentences as soon as they arrive, so there is no need to wait for the entire LLM response. -- Producer-consumer model with multithreading: Audio will be continuously synthesized in the background. They will be played one by one whenever the new audio is ready. The audio player will not block the audio synthesizer. - -Live2D Talking face -- Change Live2D model with `config.yaml` (model needs to be listed in model_dict.json) -- Load local Live2D models. Check `doc/live2d.md` for documentation. -- Uses expression keywords in LLM response to control facial expression, so there is no additional model for emotion detection. The expression keywords are automatically loaded into the system prompt and excluded from the speech synthesis output. - -live2d technical details -- Uses [guansss/pixi-live2d-display](https://github.com/guansss/pixi-live2d-display) to display live2d models in *browser* -- Uses WebSocket to control facial expressions and talking state between the server and the front end -- All the required packages are locally available, so the front end works offline. -- You can load live2d models from a URL or the one stored locally in the `live2d-models` directory. The default `shizuku-local` is stored locally and works offline. If the URL property of the model in the model_dict.json is a URL rather than a path starting with `/live2d-models`, they will need to be fetched from the specified URL whenever the front end is opened. Read `doc/live2d.md` for documentation on loading your live2D model from local. -- Run the `server.py` to run the WebSocket communication server, open the `index.html` in the `./static` folder to open the front end, and run ~~`launch.py`~~ `main.py` to run the backend for LLM/ASR/TTS processing. - -## Install & Usage - -> **New installation instruction is being created [here](https://github.com/t41372/Open-LLM-VTuber/wiki)** - -### Requirements: -- ffmpeg -- Python >= 3.10, < 3.13 -- More testing needs to be done on Python 3.13 - -Clone this repository. - -You need to have [Ollama](https://github.com/jmorganca/ollama) or any other OpenAI-API-Compatible backend ready and running. If you want to use MemGPT as your backend, scroll down to the MemGPT section. - -Prepare the LLM of your choice. Edit the BASE_URL and MODEL in the project directory's `conf.yaml`. - - -Virtual Python environment like conda or venv is strongly recommended! (because the dependencies are a mess!). - -Run the following in the terminal to install the dependencies. - -~~~shell -pip install -r requirements.txt # Run this in the project directory -# Install Speech recognition dependencies and text-to-speech dependencies according to the instructions below -~~~ - -This project, by default, launches the audio interaction mode, meaning you can talk to the LLM by voice, and the LLM will talk back to you by voice. - -Edit the `conf.yaml` for configurations. You can follow the configuration used in the demo video. - -If you want to use live2d, run `server.py`. Open the page `localhost:12393` (you can change this) with your browser, and you are ready. Once the live2D model appears on the screen, it's ready to talk to you. - -If you don't want the live2d, you can run `main.py` with Python for cli mode. - -Some models will be downloaded on your first launch, which may require an internet connection and may take a while. - - - -### Update -Back up the configuration files `conf.yaml` if you've edited them, and then update the repo. -Or just clone the repo again and make sure to transfer your configurations. The configuration file will sometimes change because this project is still in its early stages. Be cautious when updating the program. - - - - -## Install Speech Recognition (ASR) -Edit the ASR_MODEL settings in the `conf.yaml` to change the provider. - -Here are the options you have for speech recognition: - - -`FunASR` (~~local~~) (Runs very fast even on CPU. Not sure how they did it) -- [FunASR](https://github.com/modelscope/FunASR?tab=readme-ov-file) is a Fundamental End-to-End Speech Recognition Toolkit from ModelScope that runs many ASR models. The result and speed are pretty good with the SenseVoiceSmall from [FunAudioLLM](https://github.com/FunAudioLLM/SenseVoice) at Alibaba Group. -- Install with `pip install -U funasr modelscope huggingface_hub`. Also, ensure you have torch (torch>=1.13) and torchaudio. Install them with `pip install torch torchaudio` -- It requires an internet connection on launch _even if the models are locally available_. See https://github.com/modelscope/FunASR/issues/1897 - -`Faster-Whisper` (local) -- Whisper, but faster. On macOS, it runs on CPU only, which is not so fast, but it's easy to use. -- For Nvidia GPU users, to use GPU acceleration, you need the following NVIDIA libraries to be installed: - - [cuBLAS for CUDA 12](https://developer.nvidia.com/cublas) - - [cuDNN 8 for CUDA 12](https://developer.nvidia.com/cudnn) -- Or if you don't need the speed, you can set the `device` setting under `Faster-Whisper` in `conf.yaml` to `cpu` to reduce headaches. - - -`WhisperCPP` (local) (runs super fast on a Mac if configured correctly) -- If you are on a Mac, read below for instructions on setting up WhisperCPP with coreML support. If you want to use CPU or Nvidia GPU, install the package by running `pip install pywhispercpp`. -- The whisper cpp python binding. It can run on coreML with configuration, which makes it very fast on macOS. -- On CPU or Nvidia GPU, it's probably slower than Faster-Whisper - -WhisperCPP coreML configuration: -- Uninstall the original `pywhispercpp` if you have already installed it. We are building the package. -- Run `install_coreml_whisper.py` with Python to automatically clone and build the coreML-supported `pywhispercpp` for you. -- Prepare the appropriate coreML models. - - You can either convert models to coreml according to the documentation on Whisper.cpp repo - - ...or you can find some [magical huggingface repo](https://huggingface.co/chidiwilliams/whisper.cpp-coreml/tree/main) that happens to have those converted models. Just remember to decompress them. If the program fails to load the model, it will produce a segmentation fault. - - You don't need to include those weird prefixes in the model name in the `conf.yaml`. For example, if the coreML model's name looks like `ggml-base-encoder.mlmodelc`, just put `base` into the `model_name` under `WhisperCPP` settings in the `conf.yaml`. - -`Whisper` (local) -- Original Whisper from OpenAI. Install it with `pip install -U openai-whisper` -- The slowest of all. Added as an experiment to see if it can utilize macOS GPU. It didn't. - -`GroqWhisperASR` (online, API Key required) - -- Whisper endpoint from Groq. It's very fast and has a lot of free usage every day. It's pre-installed. Get an API key from [groq](https://console.groq.com/keys) and add it into the GroqWhisper setting in the `conf.yaml`. -- API key and internet connection are required. - -`AzureASR` (online, API Key required) - -- Azure Speech Recognition. Install with `pip install azure-cognitiveservices-speech`. -- API key and internet connection are required. -- **⚠️ ‼️ The `api_key.py` was deprecated in `v0.2.5`. Please set api keys in `conf.yaml`.** - -## Install Speech Synthesis (text to speech) (TTS) -Install the respective package and turn it on using the `TTS_MODEL` option in `conf.yaml`. - -`pyttsx3TTS` (local, fast) -- Install with the command `pip install py3-tts`. -- This package will use the default TTS engine on your system. It uses `sapi5` on Windows, `nsss` on Mac, and `espeak` on other platforms. -- `py3-tts` is used instead of the more famous `pyttsx3` because `pyttsx3` seems unmaintained, and I couldn't get the latest version of `pyttsx3` working. - -`meloTTS` (local, fast) - -- Install MeloTTS according to their [documentation](https://github.com/myshell-ai/MeloTTS/blob/main/docs/install.md) (don't install via docker) (A nice place to clone the repo is the submodule folder, but you can put it wherever you want). If you encounter a problem related to `mecab-python`, try this [fork](https://github.com/polm/MeloTTS) (hasn't been merging into the main as of July 16, 2024). -- It's not the best, but it's definitely better than pyttsx3TTS, and it's pretty fast on my mac. I would choose this for now if I can't access the internet (and I would use edgeTTS if I have the internet). - -`coquiTTS` (local, can be fast or slow depending on the model you run) - -- Seems easy to install -- Install with the command `pip install "coqui-tts[languages]"` -- Support many different TTS models. List all supported models with `tts --list_models` command. -- The default model is an english only model. -- Use `tts_models/zh-CN/baker/tacotron2-DDC-GST` for Chinese model. (but the consistency is weird...) -- If you found some good model to use, let me know! There are too many models I don't even know where to start... - -`barkTTS` (local, slow) - -- Install the pip package with this command `pip install git+https://github.com/suno-ai/bark.git` and turn it on in `conf.yaml`. -- The required models will be downloaded on the first launch. - -`cosyvoiceTTS` (local, slow) -- Configure [CosyVoice](https://github.com/FunAudioLLM/CosyVoice) and launch the WebUI demo according to their documentation. -- Edit `conf.yaml` to match your desired configurations. Check their WebUI and the API documentation on the WebUI to see the meaning of the configurations under the setting `cosyvoiceTTS` in the `conf.yaml`. - -`xTTSv2` (local, slow) -- Recommend to use xtts-api-server, it has clear api docs and relative easy to deploy. - -`edgeTTS` (online, no API key required) -- Install the pip package with this command `pip install edge-tts` and turn it on in `conf.yaml`. -- It sounds pretty good. Runs pretty fast. -- Remember to connect to the internet when using edge tts. - -`fishAPITTS` (online, API key required) `(added in v0.3.0-beta)` - -- Install with `pip install fish-audio-sdk` -- Register an account, get an API key, find a voice you want to use, and copy the reference id on [Fish Audio](https://fish.audio/). -- In `conf.yaml` file, set the `TTS_MODEL` to `fishAPITTS`, and under the `fishAPITTS` setting, set the `api_key` and `reference_id`. - -`AzureTTS` (online, API key required) (This is the exact same TTS used by neuro-sama) - -- Install the Azure SDK with the command`pip install azure-cognitiveservices-speech`. -- Get an API key (for text to speech) from Azure. -- **⚠️ ‼️ The `api_key.py` was deprecated in `v0.2.5`. Please set api keys in `conf.yaml`.** -- The default settings in the `conf.yaml` is the voice used by neuro-sama. - - - -If you're using macOS, you need to enable the microphone permission of your terminal emulator (you run this program inside your terminal, right? Enable the microphone permission for your terminal). If you fail to do so, the speech recognition will not be able to hear you because it does not have permission to use your microphone. - - - -## Translation - -DeepLX translation was implemented to let the program speaks in a language different from the conversation language. For example, the LLM might be thinking in English, the subtitle is in English, and you are speaking English, but the voice of the LLM is in Japanese. This is achieved by translating the sentence before it was sent for audio generation. - -DeepLX is the only supported translation backend for now. Other providers will be implemented soon. - -### Enable Audio Translation - -1. Set `TRANSLATE_AUDIO` in `conf.yaml` to True -2. Set `DEEPLX_TARGET_LANG` to your desired language. Make sure this language matches the language of the TTS speaker (for example, if the `DEEPLX_TARGET_LANG` is "JA", which is Japanese, the TTS should also be speaking Japanese.). - - - - - -## MemGPT (Probably broken) - -> :warning: MemGPT has been renamed to Letta and changed a bunch of things related to its API and how things functions. As of now, the integration of MemGPT in this project is not updated with the latest changes. - -> MemGPT integration is very experimental and requires quite a lot of setup. In addition, MemGPT requires a powerful LLM (larger than 7b and quantization above Q5) with a lot of token footprint, which means it's a lot slower. -> MemGPT does have its own LLM endpoint for free, though. You can test things with it. Check their docs. - -This project can use [MemGPT](https://github.com/cpacker/MemGPT) as its LLM backend. MemGPT enables LLM with long-term memory. - -To use MemGPT, you need to have the MemGPT server configured and running. You can install it using `pip` or `docker` or run it on a different machine. Check their [GitHub repo](https://github.com/cpacker/MemGPT) and [official documentation](https://memgpt.readme.io/docs/index). - -> :warning: -> I recommend you install MemGPT either in a separate Python virtual environment or in docker because there is currently a dependency conflict between this project and MemGPT (on fast API, it seems). You can check this issue [Can you please upgrade typer version in your dependancies #1382](https://github.com/cpacker/MemGPT/issues/1382). - - - -Here is a checklist: -- Install memgpt -- Configure memgpt -- Run `memgpt` using `memgpt server` command. Remember to have the server running before launching Open-LLM-VTuber. -- Set up an agent either through its cli or web UI. Add your system prompt with the Live2D Expression Prompt and the expression keywords you want to use (find them in `model_dict.json`) into MemGPT -- Copy the `server admin password` and the `Agent id` into `./llm/memgpt_config.yaml`. *By the way, `agent id` is not the agent's name*. -- Set the `LLM_PROVIDER` to `memgpt` in `conf.yaml`. -- Remember, if you use `memgpt`, all LLM-related configurations in `conf.yaml` will be ignored because `memgpt` doesn't work that way. - - - -## Mem0 (In development) - -Another long term memory solution. Still in development. Highly experimental. - -Pro - -- It's easier to set up compare to MemGPT -- It's a bit faster than MemGPT (but still would take quite a lot more LLM tokens to process) - -Cons - -- It remembers your preference and thoughts, nothing else. It doesn't remember what the LLM said. -- It doesn't always put stuff into memory. -- It sometimes remember wrong stuff -- It requires an LLM with very good function calling capability, which is quite difficult for smaller models -- - - - -# Issues - -`PortAudio` Missing -- Install `libportaudio2` to your computer via your package manager like apt - - - -# Running in a Container [highly experimental] - -:warning: This is highly experimental, but I think it works. Most of the time. - -You can either build the image youself or pull it from the docker hub. [![](https://img.shields.io/badge/t41372%2FOpen--LLM--VTuber-%25230db7ed.svg?logo=docker&logoColor=blue&labelColor=white&color=blue)](https://hub.docker.com/r/t41372/open-llm-vtuber) - -- (but the image size is crazy large) -- The image on the docker hub might not updated as regularly as it can be. GitHub action can't build an image as big as this. I might look into other options. - - - -Current issues: - -- Large image size (~20GB), and will require more space because some models are optional and will be downloaded only when used. -- Nvidia GPU required (GPU passthrough limitation) -- [Nvidia Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html) needs to be configured for GPU passthrough. -- Some models will have to be downloaded again if you stop the container. (will be fixed) -- Don't build the image on an Arm machine. One of the dependencies (grpc, to be exact) will fail for some reason https://github.com/grpc/grpc/issues/34998. -- And as mentioned before, you can't run it on a remote server unless the web page has https. That's because the web mic on the front end will only launch in a secure context (which means localhost or https environment only). - -Most of the asr and tts will be pre-installed. However, bark TTS and the original OpenAI Whisper (`Whisper`, not WhisperCPP) are NOT included in the default build process because they are huge (~8GB, which makes the whole container about 25GB). In addition, they don't deliver the best performance either. To include bark and/or whisper in the image, add the argument `--build-arg INSTALL_ORIGINAL_WHISPER=true --build-arg INSTALL_BARK=true` to the image build command. - -Setup guide: - -1. Review `conf.yaml` before building (currently burned into the image, I'm sorry): - -2. Build the image: - - ``` - docker build -t open-llm-vtuber . - ``` - - (Grab a drink, this will take a while) - -3. Grab a `conf.yaml` configuration file. - Grab a `conf.yaml` file from this repo. Or you can get it directly from this [link](https://raw.githubusercontent.com/t41372/Open-LLM-VTuber/main/conf.yaml). - -4. Run the container: - -`$(pwd)/conf.yaml` should be the path of your `conf.yaml` file. - - ``` - docker run -it --net=host --rm -v $(pwd)/conf.yaml:/app/conf.yaml -p 12393:12393 open-llm-vtuber - ``` - -5. Open localhost:12393 to test - - -# Related Projects - -[ylxmf2005/LLM-Live2D-Desktop-Assitant](https://github.com/ylxmf2005/LLM-Live2D-Desktop-Assitant) -- Your Live2D desktop assistant powered by LLM! Available for both Windows and MacOS, it senses your screen, retrieves clipboard content, and responds to voice commands with a unique voice. Featuring voice wake-up, singing capabilities, and full computer control for seamless interaction with your favorite character. - - - -# Development -(this project is in the active prototyping stage, so many things will change) - -Some abbreviations used in this project: - -- LLM: Large Language Model -- TTS: Text-to-speech, Speech Synthesis, Voice Synthesis -- ASR: Automatic Speech Recognition, Speech recognition, Speech to text, STT -- VAD: Voice Activation Detection - -### Regarding sample rates - -You can assume that the sample rate is `16000` throughout this project. -The frontend stream chunks of `Float32Array` with a sample rate of `16000` to the backend. - -### Add support for new TTS providers -1. Implement `TTSInterface` defined in `tts/tts_interface.py`. -1. Add your new TTS provider into `tts_factory`: the factory to instantiate and return the tts instance. -1. Add configuration to `conf.yaml`. The dict with the same name will be passed into the constructor of your TTSEngine as kwargs. - -### Add support for new Speech Recognition provider -1. Implement `ASRInterface` defined in `asr/asr_interface.py`. -2. Add your new ASR provider into `asr_factory`: the factory to instantiate and return the ASR instance. -3. Add configuration to `conf.yaml`. The dict with the same name will be passed into the constructor of your class as kwargs. - -### Add support for new LLM provider -1. Implement `LLMInterface` defined in `llm/llm_interface.py`. -2. Add your new LLM provider into `llm_factory`: the factory to instantiate and return the LLM instance. -3. Add configuration to `conf.yaml`. The dict with the same name will be passed into the constructor of your class as kwargs. - -# Acknowledgement -Awesome projects I learned from - -- https://github.com/dnhkng/GlaDOS -- https://github.com/SchwabischesBauernbrot/unsuperior-ai-waifu -- https://codepen.io/guansss/pen/oNzoNoz -- https://github.com/Ikaros-521/AI-Vtuber -- https://github.com/zixiiu/Digital_Life_Server - - - -## Star History - -[![Star History Chart](https://api.star-history.com/svg?repos=t41372/open-llm-vtuber&type=Date)](https://star-history.com/#t41372/open-llm-vtuber&Date) - - - - - diff --git a/docs/quick-start/_category_.json b/docs/quick-start/_category_.json new file mode 100644 index 0000000..d352fcb --- /dev/null +++ b/docs/quick-start/_category_.json @@ -0,0 +1,8 @@ +{ + "label": "快速上手", + "position": 2, + "link": { + "type": "generated-index", + "description": "以最方便的配置为例,尝试使用 Open LLM Vtuber" + } +} \ No newline at end of file diff --git a/docs/quick-start/backend.md b/docs/quick-start/backend.md new file mode 100644 index 0000000..5599163 --- /dev/null +++ b/docs/quick-start/backend.md @@ -0,0 +1,6 @@ +--- +sidebar_position: 1 +--- + +# 后端部署 + diff --git a/docs/quick-start/frontend.md b/docs/quick-start/frontend.md new file mode 100644 index 0000000..7fc9c2f --- /dev/null +++ b/docs/quick-start/frontend.md @@ -0,0 +1,6 @@ +--- +sidebar_position: 2 +--- + +# 前端部署 + diff --git a/docs/user-guide/_category_.json b/docs/user-guide/_category_.json new file mode 100644 index 0000000..703e744 --- /dev/null +++ b/docs/user-guide/_category_.json @@ -0,0 +1,7 @@ +{ + "label": "详细指南", + "position": 3, + "link": { + "type": "generated-index" + } +} diff --git a/docs/user-guide/backend/_category_.json b/docs/user-guide/backend/_category_.json new file mode 100644 index 0000000..5eff3de --- /dev/null +++ b/docs/user-guide/backend/_category_.json @@ -0,0 +1,7 @@ +{ + "label": "后端指南", + "position": 1, + "link": { + "type": "generated-index" + } +} diff --git a/docs/user-guide/backend/agent.md b/docs/user-guide/backend/agent.md new file mode 100644 index 0000000..7bcc085 --- /dev/null +++ b/docs/user-guide/backend/agent.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 5 +--- + +# 代理 \ No newline at end of file diff --git a/docs/user-guide/backend/asr.md b/docs/user-guide/backend/asr.md new file mode 100644 index 0000000..6709e86 --- /dev/null +++ b/docs/user-guide/backend/asr.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 3 +--- + +# 语音识别 \ No newline at end of file diff --git a/docs/user-guide/backend/config.md b/docs/user-guide/backend/config.md new file mode 100644 index 0000000..d1b73e2 --- /dev/null +++ b/docs/user-guide/backend/config.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 2 +--- + +# 配置文件 \ No newline at end of file diff --git a/docs/user-guide/backend/llm.md b/docs/user-guide/backend/llm.md new file mode 100644 index 0000000..5afe491 --- /dev/null +++ b/docs/user-guide/backend/llm.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 4 +--- + +# 语言模型 \ No newline at end of file diff --git a/docs/user-guide/backend/structure.md b/docs/user-guide/backend/structure.md new file mode 100644 index 0000000..09878e9 --- /dev/null +++ b/docs/user-guide/backend/structure.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 1 +--- + +# 项目结构 \ No newline at end of file diff --git a/docs/user-guide/backend/translate.md b/docs/user-guide/backend/translate.md new file mode 100644 index 0000000..1fd15d8 --- /dev/null +++ b/docs/user-guide/backend/translate.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 7 +--- + +# 翻译 \ No newline at end of file diff --git a/docs/user-guide/backend/tts.md b/docs/user-guide/backend/tts.md new file mode 100644 index 0000000..7de911e --- /dev/null +++ b/docs/user-guide/backend/tts.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 6 +--- + +# 语音合成 \ No newline at end of file diff --git a/docs/user-guide/frontend/_category_.json b/docs/user-guide/frontend/_category_.json new file mode 100644 index 0000000..04df808 --- /dev/null +++ b/docs/user-guide/frontend/_category_.json @@ -0,0 +1,7 @@ +{ + "label": "前端指南", + "position": 2, + "link": { + "type": "generated-index" + } +} diff --git a/docs/user-guide/frontend/mode.md b/docs/user-guide/frontend/mode.md new file mode 100644 index 0000000..4e11934 --- /dev/null +++ b/docs/user-guide/frontend/mode.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 1 +--- + +# 模式介绍 \ No newline at end of file diff --git a/docs/user-guide/frontend/pet-mode.md b/docs/user-guide/frontend/pet-mode.md new file mode 100644 index 0000000..7605ced --- /dev/null +++ b/docs/user-guide/frontend/pet-mode.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 3 +--- + +# 桌宠模式 \ No newline at end of file diff --git a/docs/user-guide/frontend/web-window-mode.md b/docs/user-guide/frontend/web-window-mode.md new file mode 100644 index 0000000..3295563 --- /dev/null +++ b/docs/user-guide/frontend/web-window-mode.md @@ -0,0 +1,5 @@ +--- +sidebar_position: 2 +--- + +# Web & 窗口模式 \ No newline at end of file diff --git a/docusaurus.config.js b/docusaurus.config.js deleted file mode 100644 index fec3f26..0000000 --- a/docusaurus.config.js +++ /dev/null @@ -1,131 +0,0 @@ -// @ts-check -// `@type` JSDoc annotations allow editor autocompletion and type checking -// (when paired with `@ts-check`). -// There are various equivalent ways to declare your Docusaurus config. -// See: https://docusaurus.io/docs/api/docusaurus-config - -import {themes as prismThemes} from 'prism-react-renderer'; - -/** @type {import('@docusaurus/types').Config} */ -const config = { - title: 'Open-LLM-VTuber', - tagline: 'Talk to LLMs with voice and Live2D avatar, locally across all platforms', - favicon: 'img/favicon.ico', - - // Set the production url of your site here - url: 'https://open-llm-vtuber-docs.pages.dev', - // Set the // pathname under which your site is served - // For GitHub pages deployment, it is often '//' - baseUrl: '/', - - // GitHub pages deployment config. - // If you aren't using GitHub pages, you don't need these. - organizationName: 't41372', // Usually your GitHub org/user name. - projectName: 'Open-LLM-VTuber-Docs', // Usually your repo name. - - onBrokenLinks: 'warn', - onBrokenMarkdownLinks: 'warn', - - // Even if you don't use internationalization, you can use this field to set - // useful metadata like html lang. For example, if your site is Chinese, you - // may want to replace "en" with "zh-Hans". - i18n: { - defaultLocale: 'en', - locales: ['en', "zh-Hans"], - }, - - presets: [ - [ - 'classic', - /** @type {import('@docusaurus/preset-classic').Options} */ - ({ - docs: { - sidebarPath: './sidebars.js', - editUrl: - 'https://github.com/t41372/Open-LLM-VTuber-Docs/tree/main/', - }, - blog: false, - theme: { - customCss: './src/css/custom.css', - }, - }), - ], - ], - - themeConfig: - /** @type {import('@docusaurus/preset-classic').ThemeConfig} */ - ({ - image: 'img/social-card.jpg', - navbar: { - title: 'Open-LLM-VTuber', - logo: { - alt: 'Open-LLM-VTuber Logo', - src: 'img/logo.png', - }, - items: [ - { - type: 'docSidebar', - sidebarId: 'tutorialSidebar', - position: 'left', - label: 'Documentation', - }, - { - type: 'localeDropdown', - position: 'right', - }, - { - href: 'https://github.com/t41372/Open-LLM-VTuber', - label: 'GitHub', - position: 'right', - }, - ], - }, - footer: { - style: 'dark', - links: [ - { - title: 'Docs', - items: [ - { - label: 'Getting Started', - to: '/docs/Start/intro', - }, - { - label: 'Installation Guide', - to: '/docs/Start/installation-guide', - }, - ], - }, - { - title: 'Community', - items: [ - { - label: 'GitHub Discussions', - href: 'https://github.com/t41372/Open-LLM-VTuber/discussions', - }, - { - label: 'Issues', - href: 'https://github.com/t41372/Open-LLM-VTuber/issues', - }, - ], - }, - { - title: 'More', - items: [ - { - label: 'GitHub', - href: 'https://github.com/t41372/Open-LLM-VTuber', - }, - ], - }, - ], - copyright: `Copyright © ${new Date().getFullYear()} Open-LLM-VTuber Docs. Built with Docusaurus.`, - }, - prism: { - theme: prismThemes.github, - darkTheme: prismThemes.dracula, - }, - }), -}; - -export default config; diff --git a/docusaurus.config.ts b/docusaurus.config.ts new file mode 100644 index 0000000..b52a068 --- /dev/null +++ b/docusaurus.config.ts @@ -0,0 +1,161 @@ +import {themes as prismThemes} from 'prism-react-renderer'; +import type {Config} from '@docusaurus/types'; +import type * as Preset from '@docusaurus/preset-classic'; + +// This runs in Node.js - Don't use client-side code here (browser APIs, JSX...) + +const config: Config = { + title: "Open LLM Vtuber", + tagline: "Talk to LLM with Live2D", + favicon: "img/favicon.ico", + + // Set the production url of your site here + url: "https://open-llm-vtuber.github.io", + // Set the // pathname under which your site is served + // For GitHub pages deployment, it is often '//' + baseUrl: "/Open-LLM-VTuber-Docs/", + + // GitHub pages deployment config. + // If you aren't using GitHub pages, you don't need these. + organizationName: "Open-LLM-VTuber", // Usually your GitHub org/user name. + projectName: "Open-LLM-VTuber-Docs", // Usually your repo name. + + onBrokenLinks: "ignore", + onBrokenMarkdownLinks: "ignore", + + // Even if you don't use internationalization, you can use this field to set + // useful metadata like html lang. For example, if your site is Chinese, you + // may want to replace "en" with "zh-Hans". + i18n: { + defaultLocale: "en", + locales: ["en"], + }, + + presets: [ + [ + "classic", + { + docs: { + sidebarPath: "./sidebars.ts", + // Please change this to your repo. + // Remove this to remove the "edit this page" links. + editUrl: + "https://github.com/Open-LLM-VTuber/Open-LLM-VTuber-Docs/tree/main/", + }, + blog: { + showReadingTime: true, + feedOptions: { + type: ["rss", "atom"], + xslt: true, + }, + // Please change this to your repo. + // Remove this to remove the "edit this page" links. + editUrl: "https://github.com/t41372/open-llm-vtuber/tree/main/", + // Useful options to enforce blogging best practices + onInlineTags: "warn", + onInlineAuthors: "warn", + onUntruncatedBlogPosts: "warn", + }, + theme: { + customCss: "./src/css/custom.css", + }, + } satisfies Preset.Options, + ], + ], + + themeConfig: { + // Replace with your project's social card + image: "img/docusaurus-social-card.jpg", + navbar: { + title: "Open LLM Vtuber", + logo: { + alt: "My Site Logo", + src: "img/logo.svg", + }, + items: [ + { + type: "docSidebar", + sidebarId: "docSidebar", + position: "left", + label: "Documentation", + }, + { to: "/blog", label: "Blog", position: "left" }, + { + href: "https://github.com/t41372/open-llm-vtuber", + label: "GitHub", + position: "right", + }, + ], + }, + footer: { + style: "dark", + links: [ + { + title: "文档", + items: [ + { + label: "快速上手", + to: "/docs/category/快速上手", + }, + { + label: "详细指南", + to: "/docs/category/详细指南", + }, + { + label: "API 文档", + to: "/docs/category/API", + }, + ], + }, + { + title: "社区", + items: [ + { + label: "GitHub", + href: "https://github.com/t41372/open-llm-vtuber", + }, + { + label: "Discord", + href: "https://discord.gg/3UDA8YFDXx", + }, + { + label: "QQ 群聊", + href: "https://qm.qq.com/q/Bo63JeEiC4", + }, + { + label: "QQ 频道", + href: "https://pd.qq.com/s/tt54r3bu", + }, + ], + }, + { + title: "更多", + items: [ + { + label: "博客", + to: "/blog", + }, + { + label: "问题反馈", + href: "https://github.com/t41372/open-llm-vtuber/issues", + }, + ], + }, + ], + copyright: `Copyright © ${new Date().getFullYear()} Open LLM VTuber. Built with Docusaurus.`, + }, + prism: { + theme: prismThemes.github, + darkTheme: prismThemes.dracula, + }, + // algolia: { + // appId: 'YOUR_APP_ID', + // apiKey: 'YOUR_SEARCH_API_KEY', + // indexName: 'open-llm-vtuber', + // contextualSearch: true, + // searchPagePath: 'search', + // }, + } satisfies Preset.ThemeConfig, +}; + +export default config; diff --git a/package-lock.json b/package-lock.json index 118e044..16d6c00 100644 --- a/package-lock.json +++ b/package-lock.json @@ -1,58 +1,62 @@ { - "name": "open-llm-vtuber-doc", + "name": "my-website", "version": "0.0.0", - "lockfileVersion": 3, + "lockfileVersion": 2, "requires": true, "packages": { "": { - "name": "open-llm-vtuber-doc", + "name": "my-website", "version": "0.0.0", "dependencies": { - "@docusaurus/core": "3.4.0", - "@docusaurus/preset-classic": "3.4.0", + "@docusaurus/core": "3.6.3", + "@docusaurus/preset-classic": "3.6.3", + "@docusaurus/theme-mermaid": "^3.6.3", + "@docusaurus/theme-search-algolia": "^3.7.0", + "@emotion/react": "^11.14.0", + "@emotion/styled": "^11.14.0", "@mdx-js/react": "^3.0.0", + "@mui/material": "^6.3.1", "clsx": "^2.0.0", "prism-react-renderer": "^2.3.0", "react": "^18.0.0", "react-dom": "^18.0.0" }, "devDependencies": { - 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"3.4.0", - "@docusaurus/types": "3.4.0" + "@docusaurus/module-type-aliases": "3.6.3", + "@docusaurus/tsconfig": "3.6.3", + "@docusaurus/types": "3.6.3", + "typescript": "~5.6.2" }, "browserslist": { "production": [ diff --git a/sidebars.js b/sidebars.js deleted file mode 100644 index a958db3..0000000 --- a/sidebars.js +++ /dev/null @@ -1,65 +0,0 @@ -/** - * Creating a sidebar enables you to: - - create an ordered group of docs - - render a sidebar for each doc of that group - - provide next/previous navigation - - The sidebars can be generated from the filesystem, or explicitly defined here. - - Create as many sidebars as you want. - */ - -// @ts-check - -/** @type {import('@docusaurus/plugin-content-docs').SidebarsConfig} */ -const sidebars = { - tutorialSidebar: [ - { - type: 'category', - label: 'Getting Started', - items: [ - 'Start/intro', - 'Start/installation-guide', - 'Start/Start', - ], - }, - { - type: 'category', - label: 'Features', - items: [ - 'features/llm-backends', - 'features/live2d', - 'features/translation', - ], - }, - { - type: 'category', - label: 'Speech Recognition', - items: [ - 'ASR/speech-recognition', - 'ASR/Whisper', - 'ASR/WhisperCPP', - 'ASR/GroqWhisperASR', - 'ASR/FunASR', - ], - }, - { - type: 'category', - label: 'Advanced', - items: [ - 'advanced/memgpt', - 'advanced/mem0', - 'advanced/docker', - ], - }, - { - type: 'category', - label: 'Development', - items: [ - 'development/contributing', - ], - }, - ], -}; - -export default sidebars; diff --git a/sidebars.ts b/sidebars.ts new file mode 100644 index 0000000..f1b8181 --- /dev/null +++ b/sidebars.ts @@ -0,0 +1,33 @@ +import type {SidebarsConfig} from '@docusaurus/plugin-content-docs'; + +// This runs in Node.js - Don't use client-side code here (browser APIs, JSX...) + +/** + * Creating a sidebar enables you to: + - create an ordered group of docs + - render a sidebar for each doc of that group + - provide next/previous navigation + + The sidebars can be generated from the filesystem, or explicitly defined here. + + Create as many sidebars as you want. + */ +const sidebars: SidebarsConfig = { + // By default, Docusaurus generates a sidebar from the docs folder structure + docSidebar: [{type: 'autogenerated', dirName: '.'}], + + // But you can create a sidebar manually + /* + docSidebar: [ + 'intro', + 'hello', + { + type: 'category', + label: 'doc', + items: ['doc-basics/create-a-document'], + }, + ], + */ +}; + +export default sidebars; diff --git a/src/components/HomepageFeatures/index.js b/src/components/HomepageFeatures/index.tsx similarity index 85% rename from src/components/HomepageFeatures/index.js rename to src/components/HomepageFeatures/index.tsx index acc7621..50a9e6f 100644 --- a/src/components/HomepageFeatures/index.js +++ b/src/components/HomepageFeatures/index.tsx @@ -2,7 +2,13 @@ import clsx from 'clsx'; import Heading from '@theme/Heading'; import styles from './styles.module.css'; -const FeatureList = [ +type FeatureItem = { + title: string; + Svg: React.ComponentType>; + description: JSX.Element; +}; + +const FeatureList: FeatureItem[] = [ { title: 'Easy to Use', Svg: require('@site/static/img/undraw_docusaurus_mountain.svg').default, @@ -35,7 +41,7 @@ const FeatureList = [ }, ]; -function Feature({Svg, title, description}) { +function Feature({title, Svg, description}: FeatureItem) { return (
@@ -49,7 +55,7 @@ function Feature({Svg, title, description}) { ); } -export default function HomepageFeatures() { +export default function HomepageFeatures(): JSX.Element { return (
diff --git a/src/pages/index.js b/src/pages/index.tsx similarity index 78% rename from src/pages/index.js rename to src/pages/index.tsx index ee2319b..b3d1ad9 100644 --- a/src/pages/index.js +++ b/src/pages/index.tsx @@ -3,8 +3,8 @@ import Link from '@docusaurus/Link'; import useDocusaurusContext from '@docusaurus/useDocusaurusContext'; import Layout from '@theme/Layout'; import HomepageFeatures from '@site/src/components/HomepageFeatures'; - import Heading from '@theme/Heading'; + import styles from './index.module.css'; function HomepageHeader() { @@ -19,8 +19,8 @@ function HomepageHeader() {
- Get Started 🚀 + to="/docs/intro"> + Get Started
@@ -28,14 +28,16 @@ function HomepageHeader() { ); } -export default function Home() { +export default function Home(): JSX.Element { const {siteConfig} = useDocusaurusContext(); return ( + title={`Hello from ${siteConfig.title}`} + description="Description will go into a meta tag in "> - +
+ +
); } diff --git a/src/pages/who_am_I.md b/src/pages/who_am_I.md deleted file mode 100644 index a0ed1ac..0000000 --- a/src/pages/who_am_I.md +++ /dev/null @@ -1,21 +0,0 @@ -## Who am I? - -Can I condemn this man, to slavery? -Pretend I'm not the man I used to be? -Must my name, until I die, be no more than an alibi? - -Must I lie? How can I ever face, my fellow man? How can I ever face myself again? -My soul belongs to GOD I know, I made that BARGAIN long ago. -He GAVE me hope when hope was gone. He gave me STENGTH to journey on........ - -WHO AM I? - -WHO AM I? - -I'M JEAN VAL JEAN!!!!!! - -And so JAVEAT you see it TRUE -This man bears no more guilt than you....... - -WHO AM I? -2 4 6 O 1 !!!!!!!!! \ No newline at end of file diff --git a/static/img/logo.png b/static/img/logo.png deleted file mode 100644 index cb36f0d4699c58e4a79b2e2b12adbd64295e58ed..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 412261 zcmeFZWmFwOw?hXg{KyY_=cXxM}-~@MfcMA~QgAB=c-@A9soB1=p zr)!(_iZ4>XwT1fQ1~e6t6#@Y2 zV&Gp4AU~dojU<$00RVRj0Khj80C@f=@;wFsoR|QB6MX=HClvs|vdwH$slDM*@U=2LS)&0f3L1J}!t{u>XeUg8wflxJoX>f9L-q{w||l z{AeW0cNLH$NLGf&$i|Anz}Uvngu&Iy_Adf}&z0vRYh~hSKXOgMo>GiBtfNn3$N)-uN4jl8D%Uk$*h#lbSg?+VU_m zy12M7xUe$V*qbskb8~YuGO;kSu+V>C&^x$UI~ussTRV{br;`6wkBEtbk^OgD$L}`Q z#DD8GFtl-UNl%jkb!|7oX*>-YcWWbN=@-TLSt<6j6PGXoRj{}Y+x_iz6%WPc(5 zA^X>_|FGlxTN#hScUKcj4Uz9wCe{ugO%q_}=HUCs=Kp~FcSHX}DQshDW3Oy$U}Pe| z{9h#hqv-#R{f`gm|CP`Gfcy{2zwPFcxBqVPF{FP7?k}VNqwK%%`56C>>i-z!|4iY( z(vLY5fa7EQ-|ImDZu7b`000mKNQwxlxPqN^LMLV|BvG_obUM+d&`5kvvY#~e3nT|p z#Rhzj2N>XGI6t&xILkkDuv^@XpMH1WywRMp__nFV>b$o1V*^{J7BMw5F$kQ>4_t}* z2*iC<{-?|4!oivf7;KFnJ6YED?$ayq=d9uVJ^NCTufeC znMq>o?7Z3(7?G0Dqno9*tB(>P^?H==H>~Rdsqvvsjh=*x6zE)?ot>YZolUyZZK6&^ zH=CG9iqp}y6W9^Bxp7;GiWXTt1w9e820dlXWL8e*6}e@pifeipkEdp{TP)u4zdi1G z9ii}wKq3M^lIIRCjPD7&`geV7Hd}9V;y6%}s*COPv~o#BHJ|-!N|&gEkqtJZ*Ep^ z^JptX|b;9jKh&5$AtnasVXj?pv$CvBD&lF(;`7CDo ztttovGyzaa(vp&C2-phbq64Bz3Ls)`H-KDRsszFWycTvZx*=5y@C~5ty6`0j$s!5$ z)-P48251OqbocNm#PThxfp+n31Jt?$YFEM9cvg!L^{bo8aEL2Kaq(~q%kmV{aq)^; z%Y-zwvh>r`FL(M3>}bG=M@U(O1iS%(wq%683IvxZU=bViS?B;Ipt1}E zy>$zkc8@Rv1N}@!EFGxL%xl&a!1|mfZY2Q_4>Zy&-ehl>{loH^GlYP}U15cs8FPxvgCYlCNuhF;D3 zk5L(8s#6<1E^mL)t0}ZV{ab{_=Dt-*|GI=#3dIFoerRSguoEC|T~oRK>M|6QgFR-@ zQXlUJkT<$xHN2IerlaQYEp!LpC5DpnCuRLYt^c)fvfMB~pJJLBJedR>V|E&qk6FZ4 zG}c5vT(K||kh*e75W$QNNrn{yhhgjo<*0~2WG;})g#nEf3_H_^-6W>rMkk#G2lmAe z%dN+J0Rm-Vagm0e9-sx+l3rL`E+v=EM`AjanFQrqZ|z%!k3f=~n6wy)!+HpvKq>2P zHC#AGBOZ;vVjbDXZbodj{dLLr>M5gVJkMR?(mY^$?(1rb=$`et9oyO66 z6!7T8E@?Xbi3ABn$YIR8hw9V>B6FQ!Aeki%HJC4Dj+w~%`c;?#)Zh$Au)Psn(+$Ru zR*AkytqN*HsehP2>029!p3F%}+gY%W3YOk5Er3EzgNgF0in#Lf2K$#sW^SkJLX{;I zKf%Hd&*{ahy&*4~_2sw-9*+n7 z7N0G@fcK`nuC789hmgT&0!lOr+4#IvqU@LMLV=Z_T|!C0PQs@=nmZW4mFo4Mkyd$;D=y`8*$%=8jR6rB41?$J`X4C zXv`wB#141zFJI(GN2QonveLMzv$n@wseF}e_x%zL$kCRyra*Ko-PF4MS%8>33UTja zF5~a048a;8ltZT`c6OQ;9>;B8e12z%lT-80jGWEZy^mL087w9z5okzRe4kq1y(g2A z8U9Wr_>8X&FGK7}usIZ>HVC(LwW;EAd&R4nkk9q_C+9qS3|;s7$0U{vKfsaE5rRjNtO|`PHde#@Qyo zn3m=?X%TPU_Y&SKmoz)%^M-txG=6@-BbDVI}MvL^`BgzHrV6xf1nG3GP z-!!}DeG`Jf%7y~ahKL=+(C#8%%UL_cl`l`UHHHfY=;r96ZBSZ25 zk%5Ye1X8D93djA6ki*EQ(gAF}q{`}A$hHBhPV`o(HuJ$rPFVnsRu<=Rt~5TkdVOB- zCQQ^Qlrs?~pxFzULTCa)9arvG;$l=023HB7W?_t^het`JPA8^AYV_D;T%Ymt?f2ST z#JFprA|-{`h@CGGwvC_x7Po?$`?-|Dt`x7np$=dF}4wM91 zz$x%2S^WoKvbqqPaK`ng7H`LVR5bPZ>W<(u7YpoC$3fUEfNj^67>^V zy2B{KC=mk$6wlNbpf_te--7Y^Jw>cRjVQG6l+w-|JxV$Kdy2!|_y8q9(2CtKMC&jf zb!FHtu4Y_3BHrkghcc>doi=7wteA-)hZ7*>u_1Fld`}3MO2TON_!Uk>H9Hx86Bvh2 z!L}bd>LPiUHdo(l-)!mj&d=?=Uy6XkQfhu*sqt>G$~oJf()`>iA-ZTJ>ia52f<_-CKGGs_zEoF zS@_6@3IY}&_2+~6v&^hc2G&b}-7rFEei8XFkTm^9P{S~6OnoDQP=Y9aATOOx{4aJ& zn_dq(mi*I@C@y6(eVFh8P>9Jdy?l_W_@4@s!ewC1m6A#Q>BYp!@otJ2D>Y~@s`Y3i zFzFJ<7=B`R!>X}@^3g@WQqvTM^;5-f+%AQ)q0p-E!==7Ik(BPfX(*1jhYKNRK4u3Y z?;V%O^k){5?J9L2`Nh#Dd4lK|Ic|r1jYdNRkzKX!b z67=&tXO(vq8o96Vdd1;zq@P-uyg4@%il~Rr*6|ET4phRI>+>XXJSV9A+EgHXaonE_ zmKgvXLqYOZL=htHHsFCkFV@rHH>LVY5}+q54w!=$9C(uE=f@@mZjJJ{AG|(n4%O;c z$fUDrRA;kl1;=1RW%KKQTV(zz72`P^i?&t}mYONxBbGf@tu zANjyAjS6WpfMst7kENK_-(G(hf-Xwjpi!86Ey17AUwko5kcKvb2-H>I;56iN9wgd* z;AT;ltGrQ4QL66GUlptai%(6!P%i$Ql#C$?$Zab4p((K5A-Sp3pgEbzO+qGyP}6=k zD*g7H54qH(f?BDj@K-+2lS3?Q#?YI@1(pRsF%ToppZoZ9pCGOgt+n11T)-{H>UfSg zwmJ?X;P6_5`zj(R9`6!_ezNX>t<4v9OGREll1A@ItZIP>)#njHBmo>VC70-T&;Rm+ z=m~BhWnLH@1%=PGZHy!U!qynsIDZWPKyDtnPNH>cxybgoP~%2hJ_O7SgM~94!Pdt^ z3K1S`uNP6~JO}m1y??-iOlZZ&b{AoI0*|z4HmS>@Wm?dPQM->b>F!)t=&}!}E)8%! zr3@{HrM%J$^`%!V(i-*cK+K$+&<+Fk^Ytc~Dz-G!b~{lfJe!G#@AG&xFkfy@=vBvs zHRn0~NESBM1QPEo)JNYSlBOm77dwfjvN<2F>R4@fA%g$OzMf%h`oBj~B({mor@Mnn z{e*e9i0VCmh5M{O%}jn_q^9;`KhaEMcleQ*lmZ6T{Tzr47A40u)SOOxt+~d_l(_^; zyg;%6pg7e34Q57yU{GRn38w!01=Y_?Q~&X3E>a5ZIEa|zG$fP}Cs$1d$`els#pVqd1_K8THEx!Jzmd;H1yG>=Zr_(f)nH5bFLe<(`|!9emuvu9nf(Gp+My~? z>oqhq5`If7@lT1v$t+6si8Qi+U<8f`bYCSlOmQMYEPX0|v7)k~6*|SUp_NvMdK7Ic ziOaWr&MiKu+(b4=5t#BbJv4N>SVaC&1(I+-n85_>YUDnjOot?bsl`?e`7f`LmRmoB z-=1yWH7VqIo$CBSj;o(r&p zSrf53<>-O}p4`

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