README.md

metadata

title: RAG Chatbot Demo
emoji: 🤖
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 6.13.0
python_version: '3.10'
app_file: app.py
pinned: false

Demo RAG Chatbot

A Python demo chatbot that:

• loads configuration from environment variables or config.yaml
• scrapes the configured website
• builds embeddings using HuggingFace models
• retrieves relevant chunks (RAG)
• generates answers using SambaNova API
• returns formatted text output with citations

Setup

1. Install dependencies:

   pip install -r requirements.txt
   

2. Configure environment variables:

   • SAMBANOVA_API_KEY: your SambaNova API key
   • WEBSITE: the URL to scrape
   • EMBEDDING_MODEL: HuggingFace model (default: sentence-transformers/all-MiniLM-L6-v2)
   • SYSTEM_PROMPT: optional behavior prompt

   Or create config.yaml with these keys.

Run CLI Mode

python chatbot.py

Type a question and press Enter. Type exit to quit.

Run with Gradio UI

python app.py

Interactive web interface with real-time answers and citations display.

Hugging Face Spaces

For deployment on Hugging Face Spaces:

1. Set the following secrets in your Space settings:

   • SAMBANOVA_API_KEY
   • WEBSITE
   • EMBEDDING_MODEL (optional)
   • SYSTEM_PROMPT (optional)

2. The app will automatically use these environment variables.