🦙 YouTube Llama

A question-answering chatbot for any YouTube video using Local Llama2 & Retrival Augmented Generation

YouTube-llama.mp4

Table of Contents

• Features
• Installation
• Usage
• Contributing
• License
• Acknowledgments
• Contact
• Llama 2 RAG

Features

• Learns information from YouTube videos.
• Provides a natural language interface for asking questions about video content.
• Utilizes Local Llama2 for efficient question-answering capabilities.

Installation

Follow these steps to set up the project:

1. Clone the repository:

   git clone https://github.com/SRDdev/YouTube-Llama.git
   cd YouTube-Llama

2. Install dependencies:

   pip install -r requirements.txt

3. Installing Llama-cpp-Python

The installation process for llama-cpp-python is a bit complex. But I have combined all the required information below.

a. Requirements - git - python - cmake - Visual Studio Community (make sure you install this with the following settings) a. Desktop development with C++ b. Python development c. Linux embedded development with C++

4. Install Llama-cpp-Python:

   Follow the installation process for Llama-cpp-Python:

   # Clone git repository recursively to get llama.cpp submodule as well
   git clone --recursive -j8 https://github.com/abetlen/llama-cpp-python.git

   Open up the command prompt (or Anaconda prompt if you have it installed), set up environment variables to install. Follow this if you do not have a GPU; you must set both of the following variables.

   You can ignore the second environment variable if you have an NVIDIA GPU.

   set FORCE_CMAKE=1
   set CMAKE_ARGS=-DLLAMA_CUBLAS=OFF

   pip install llama-cpp-python -q

Usage

How to use 🦙 YouTube Llama:

1. Run the application:

   streamlit run app.py

2. Access the chatbot through a web interface or API endpoint.

3. Input questions related to a specific YouTube video

4. Receive answers based on the content of the video as well as general-purpose information.

Contributing

We welcome contributions! Follow these steps to contribute to the project:

1. Fork the project.

2. Create a new branch (git checkout -b feature/awesome-feature).

3. Commit your changes (git commit -am 'Add awesome feature').

4. Push to the branch (git push origin feature/awesome-feature).

5. Open a pull request.

License

This project is licensed under the Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license.) - see the LICENSE.md file for details.