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CloudWhiz is a chatbot built with Streamlit, Langchain, Hugging Face's LLM, and Faiss. It serves as a helpful Amazon Web Service assistant, capable of answering questions regarding AWS solutions based on an AWS Solutions Architect PDF.

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CloudWhiz is a chatbot built with Streamlit, Langchain, Hugging Face's LLM, and Faiss. It serves as a helpful Amazon Web Service assistant, capable of answering questions regarding AWS solutions based on an AWS Solutions Architect PDF.

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Getting Started

Prerequisites

Before you begin, make sure you have the following installed:

Installation

  1. Clone the repository:

    git clone [email protected]:aibunny/cloudwhiz.git
  2. Navigate to the project directory:

    cd cloudwhiz
  3. Create a virtual environment:

    virtualenv venv
  4. Activate the virtual environment:

    • On Windows:

      .\venv\Scripts\activate
    • On Unix or MacOS:

      source venv/bin/activate
  5. Create a .env file in the project root and add your Hugging Face API token:

    HUGGINGFACEHUB_API_TOKEN=hf_your_token_here
  6. Install the required dependencies:

    pip install -r requirements.txt

Running the Application

After setting up the environment, you can run the CloudWhiz using Streamlit. Execute the following command:

streamlit run helper.py

About

CloudWhiz is a chatbot built with Streamlit, Langchain, Hugging Face's LLM, and Faiss. It serves as a helpful Amazon Web Service assistant, capable of answering questions regarding AWS solutions based on an AWS Solutions Architect PDF.

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