README.md

metadata

title: Hubermanbot2
emoji: 🏆
colorFrom: blue
colorTo: blue
sdk: gradio
sdk_version: 5.16.0
app_file: app.py
pinned: false
license: mit
short_description: a bot

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Andrew Huberman RAG-Based AI Chatbot

Overview

Xyzbot is an AI chatbot that extracts and synthesizes insights from Andrew Huberman's YouTube videos. It automatically retrieves video transcripts, updates its knowledge base in ChromaDB, and provides citation-linked responses.

🚀 Key Features

• Mimics Andrew Huberman's insights using YouTube video transcripts
• Automatic transcript retrieval and knowledge base updates
• RAG-powered response generation with direct video citations
• Interactive Streamlit user interface
• Docker-based deployment for easy scalability

🛠 Tech Stack

• Backend: Python, LangChain, OpenAI API
• Frontend: Streamlit
• Database: ChromaDB
• Deployment: Docker

📂 Project Structure

📦 Xyzbot
├── 📂 Data
├── 📂 Example
├── 📂 Llm
├── 📂 Notebook
├── 📂 Prompts
├── 📂 Rag
│   ├── chromadb.db
│   └── 📂 Processed_folder
├── 📂 utils
├── Dockerfile
└── pyproject.toml

🔧 Prerequisites

• Python 3.8+
• Docker (optional)

🔑 API Keys Required

1. Google Gemini API Key
2. YouTube API Key

🚀 Installation

Local Setup

1. Clone the repository

   git clone https://github.com/Angel-dash/Xyzbot.git
   cd Xyzbot
   

2. Create virtual environment

   python3 -m venv venv
   source venv/bin/activate
   pip install -r requirements.txt
   

Docker Setup

Option 1: Build Locally

docker build -t xyzbot:v1.0 .
docker run -it \
  -v $(pwd)/Rag:/app/Rag:rw \
  -e GOOGLE_API_KEY=your_api_key \
  xyzbot:v1.0

Option 2: Pull from Docker Hub

docker pull angeldash/xyzbot:v1.0
docker run -it \
  -v $(pwd)/Rag:/app/Rag:rw \
  -e GOOGLE_API_KEY=your_api_key \
  angeldash/xyzbot:v1.0

🖥️ Running the Application

streamlit run src/main.py

📈 Future Roadmap

• Fine-tuned LLM response generation
• Real-time multi-channel monitoring
• Enhanced citation formatting
• AI agent conversation handling
• Performance optimization

📜 License

MIT License

🤝 Contributing

Contributions are welcome! Open an issue or submit a pull request.

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Author: Angel Dash | GitHub: @Angel-dash