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Download DEPLOYMENT_GUIDE.md from GodRad/latest_Rag_SaaS_Access_Point: direct link, hf CLI and curl.
- Browser
- Download file 3.48 kB
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https://huggingface.co/spaces/GodRad/latest_Rag_SaaS_Access_Point/resolve/main/DEPLOYMENT_GUIDE.md
- Command line
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hf download hf://spaces/GodRad/latest_Rag_SaaS_Access_Point/DEPLOYMENT_GUIDE.md
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curl -L -o DEPLOYMENT_GUIDE.md https://huggingface.co/spaces/GodRad/latest_Rag_SaaS_Access_Point/resolve/main/DEPLOYMENT_GUIDE.md
3.48 kB
A newer version of the Streamlit SDK is available: 1.66.1
RAG SaaS Platform - Webapp Deployment Guide
β Webapp Status: READY FOR DEPLOYMENT
All issues have been resolved. The webapp is clean and ready to deploy.
Files in webapp/ Directory
1. app.py (26.7 KB)
- β Clean imports at the top (no lazy loading)
- β All 7 critical fixes integrated
- β Multi-source retrieval UI
- β Tenant authentication
- β Metrics display with latency breakdown
- β Document/URL/YouTube source management
2. requirements.txt
streamlit
requests
pandas
- β Minimal dependencies for fast startup
3. Dockerfile
- β Configured for HF Spaces
- β User permissions (UID 1000)
- β Port 7860
- β Streamlit entrypoint
4. .streamlit/config.toml
- β Headless mode
- β Dark theme
- β Performance optimizations
5. README.md
- β HF Spaces metadata
- β Quick setup guide
Deployment Options
Option 1: Streamlit SDK (Recommended for UI) β
Fastest startup time!
- Create new Space on Hugging Face
- Settings:
- SDK: Streamlit
- SDK Version: 1.28.0
- App File: app.py
- Upload files:
app.pyrequirements.txt.streamlit/config.tomlREADME.md
Expected startup: 8-12 seconds
Option 2: Docker SDK
- Create new Space on Hugging Face
- Settings:
- SDK: Docker
- Upload files:
app.pyrequirements.txtDockerfile.streamlit/config.tomlREADME.md
Expected startup: 15-20 seconds
Configuration
Backend URL
In the sidebar, users can configure the backend API URL:
- Local development:
http://localhost:7860 - HF Spaces backend:
https://YOUR_USERNAME-rag-saas-backend.hf.space
Features
1. Authentication
- Login with Tenant ID
- Create new tenant accounts
- Secure session management
2. Ask Questions
- Multi-source retrieval (docs, URLs, YouTube)
- Real-time latency metrics
- 5-metric performance breakdown
- Visual latency chart
- Confidence scoring
- Source attribution
3. Manage Sources
- Upload documents (PDF, DOCX, TXT)
- Add web URLs
- Add YouTube videos (with transcript upload)
- Enable/disable sources
- View all sources
4. Metrics Dashboard
- Tenant-specific metrics
- Time-range selection
- Cache performance stats
- Historical trends
Testing Locally
cd webapp
streamlit run app.py --server.port=8501
Then open: http://localhost:8501
Deployment Checklist
-
app.py- Clean, no lazy loading -
requirements.txt- Minimal dependencies -
Dockerfile- HF Spaces compatible -
.streamlit/config.toml- Optimized settings -
README.md- HF metadata - All imports working
- No syntax errors
- Ready for deployment
Next Steps
Deploy Backend First
- Upload backend to HF Spaces (Docker SDK)
- Get backend URL
Deploy Frontend
- Upload webapp to HF Spaces (Streamlit SDK)
- Configure backend URL in sidebar
Test End-to-End
- Create tenant
- Add sources
- Ask questions
- Check metrics
Summary
β Webapp is production-ready!
- Clean code with standard imports
- All 7 critical fixes integrated
- Optimized for HF Spaces
- Fast startup (8-12 seconds)
- Full feature parity with backend