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The Python micro framework for building knowledge base powered ChatGPT assistants

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AnythingGPT

The Python micro framework for building knowledge base powered ChatGPT assistants

Install

  1. Fork&Clone
  2. Go to the project directory
  3. Set up an environment and install needed libraries
virtualenv -p python3.8 .venv
source .venv/bin/activate
pip install -r requirements.txt

Using the manually compiled knowledge base of questions and answers.

  • To do so, create a xlsx file using ./subgraphs_faq.xlsx as an example
  • This file will contain questions and answers
  • Questions must be with at least one "?" mark, otherwise a question will be excluded
  • If you are going to use only manually compiled knowledge base you can skip the next two optional sections

Collect data from discord (optional)

  • First, open a discord channel in your browser and get the channel ID from the URL https://discord.com/channels/xxx/{CHANNEL_ID}
  • Second, being on the discord channel page, start typing anything, then open developer tools -> Network -> Find "typing" -> Headers -> Authorization.
  • Third, run the script with the obtained parameters
source .venv/bin/activate
python  discord-channel-data-collection.py --channel_id=123456 --authorization_key="123456qwerty"

Collect data from telegram chat (optional)

  • First, create an app using https://my.telegram.org/apps and get app_id and app_hash
  • Second, find a group name that you are going to use
  • Third, run the script with the obtained parameters from your telegram user creds:
source .venv/bin/activate
python telegram-group-data-collection.py --app_id=123456 --app_hash="123456qwerty" --phone_number="+xxxxxx" --password="qwerty123" --group_name="xxx" --limit_messages=100

Add contextual ADA embeddings to the csv file with texts

  • For any csv or excel file which has a column with text one can run this script to save all texts with "?" together with embeddings in a new file
  • You need an OpenAI API key to run this for embedding generation

Example command:

python add_embeddings.py --openai_api_key="xxx" --file="./subgraphs_faq.xlsx" --colname="Question"

Run the example telegram bot

  • The bot which will answer to the questions considering the provided topic
  • Also it will strongly follow the provided knowledge base

Example command:

python telegram-bot.py --openai_api_key="xxx" --telegram_bot_token="xxx" --file="./subgraphs_faq._question_embed.csv" --topic="The Graph subgraph development"

Modify the files to solve your own task

and star this repository🙂

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