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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:
```bash
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
```bash
python chatbot.py
```
Type a question and press Enter. Type `exit` to quit.
## Run with Gradio UI
```bash
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. |