Spaces:
Runtime error
Runtime error
A newer version of the Gradio SDK is available:
6.2.0
🚀 Hugging Face Spaces Deployment Guide
Quick Deployment Steps
1. Create a New Space
- Go to Hugging Face Spaces
- Click "Create new Space"
- Choose "Streamlit" as the SDK
- Set visibility (Public/Private)
2. Upload Files
Upload these files to your Space:
app.py(main Streamlit application)requirements.txt(dependencies)README.md(documentation)
3. Set Environment Variables
- Go to Settings → Secrets
- Add
GOOGLE_API_KEYwith your Gemini API key - The app will automatically use this environment variable
4. Deploy
- Push your code to the Space
- The app will automatically build and deploy
- Wait for the build to complete (usually 2-3 minutes)
5. Test Your App
- Open your Space URL
- Enter your Gemini API key in the sidebar
- Click "Initialize RAG System"
- Start chatting!
Important Notes
- API Key: Make sure to set
GOOGLE_API_KEYin Space secrets - Memory: The app will create a Chroma database in memory
- Performance: First initialization may take a few minutes
- Limits: Hugging Face Spaces have resource limits
Troubleshooting
Build Fails
- Check
requirements.txtfor correct package versions - Ensure all imports are available
Runtime Errors
- Verify API key is set correctly
- Check logs in the Space interface
- Ensure all dependencies are installed
Performance Issues
- Reduce the number of documents processed
- Use smaller embedding models
- Optimize the RAG pipeline
Customization
You can customize the app by:
- Modifying the UI in
app.py - Changing the embedding model
- Adjusting the RAG pipeline parameters
- Adding new features
Happy deploying! 🎉