Spaces:
Runtime error
A newer version of the Gradio SDK is available:
5.43.1
π Deploy SafetyMaster Pro - Gradio Version
π― Why Gradio?
Gradio is perfect for AI applications like SafetyMaster Pro because:
- β Super easy deployment - One file, multiple hosting options
- β Built for AI/ML - Perfect for computer vision apps
- β Free hosting options - Hugging Face Spaces, Gradio Cloud
- β Beautiful UI - Professional interface out of the box
- β No complex setup - No Docker, no server configuration
π What You Get
Your Gradio app includes:
- π· Image Upload Analysis - Drag & drop safety detection
- πΉ Live Camera Monitoring - Real-time PPE detection
- π Violation Logging - Track safety compliance
- π€ AI Model Info - Model details and capabilities
π Free Hosting Options
1. π€ Hugging Face Spaces (Recommended)
Best for: Public demos, sharing with others Cost: 100% Free Setup Time: 5 minutes
Steps:
- Create Account: Go to huggingface.co and sign up
- Create Space:
- Click "Create new Space"
- Name:
safetymaster-pro
- SDK:
Gradio
- Hardware:
CPU basic
(free)
- Upload Files:
gradio_interface.py safety_detector.py camera_manager.py config.py requirements.txt
- Create app.py:
from gradio_interface import main if __name__ == "__main__": main()
- Deploy: Files auto-deploy when uploaded!
Your app will be live at: https://huggingface.co/spaces/yourusername/safetymaster-pro
2. βοΈ Gradio Cloud
Best for: Private apps, team use Cost: Free tier available Setup Time: 2 minutes
Steps:
- Sign up: gradio.app
- Upload: Drag
gradio_interface.py
to the interface - Deploy: Click "Deploy" - that's it!
3. π Render (Docker-free)
Best for: Custom domains, production use Cost: Free tier available
Steps:
- Push to GitHub: Your Gradio files
- Connect Render: Link your repository
- Deploy: Render auto-detects Gradio apps
4. π Streamlit Cloud (Alternative)
Convert to Streamlit if preferred - similar to Gradio
π§ Local Testing
Test your Gradio app locally first:
# Install dependencies
pip install -r requirements.txt
# Run the app
python gradio_interface.py
Visit: http://localhost:7860
π File Structure for Deployment
safetymaster-gradio/
βββ gradio_interface.py # Main Gradio app
βββ safety_detector.py # AI detection logic
βββ camera_manager.py # Camera handling
βββ config.py # Configuration
βββ requirements.txt # Dependencies
βββ app.py # Entry point (for HF Spaces)
βββ README.md # Documentation
π¨ Gradio Features
π· Image Analysis Tab
- Drag & drop image upload
- Instant detection with bounding boxes
- Detailed results in JSON format
- Human-readable summary
πΉ Live Camera Tab
- Start/Stop camera monitoring
- Real-time detection display
- Live status updates
- Violation alerts
π Violation Log Tab
- Recent violations history
- Auto-refresh every 10 seconds
- Detailed timestamps
- Severity indicators
π€ Model Info Tab
- AI model details
- Supported equipment types
- Detection capabilities
π Quick Deploy to Hugging Face Spaces
Create these files for instant deployment:
app.py
#!/usr/bin/env python3
"""
SafetyMaster Pro - Hugging Face Spaces Entry Point
"""
from gradio_interface import main
if __name__ == "__main__":
main()
README.md (for HF Spaces)
---
title: SafetyMaster Pro
emoji: π‘οΈ
colorFrom: blue
colorTo: red
sdk: gradio
sdk_version: 4.0.0
app_file: app.py
pinned: false
---
# SafetyMaster Pro - AI Safety Monitoring
Real-time PPE detection and safety compliance monitoring using YOLOv8.
## Features
- Hard Hat Detection
- Safety Vest Detection
- Face Mask Detection
- Real-time Camera Monitoring
- Violation Logging
Upload an image or use your camera to detect safety equipment!
π§ Environment Variables
For production deployment, set these:
# Optional - for custom configurations
GRADIO_SERVER_NAME=0.0.0.0
GRADIO_SERVER_PORT=7860
GRADIO_SHARE=False
π Performance Optimization
For Free Hosting:
- β Models download automatically (already configured)
- β Efficient memory usage
- β Optimized for CPU inference
- β Gradio handles caching
Memory Usage:
- Base app: ~200MB
- With AI model: ~800MB
- Total: Under 1GB (fits free tiers)
π― Deployment Comparison
Platform | Cost | Setup Time | Features |
---|---|---|---|
Hugging Face Spaces | Free | 5 min | Public, easy sharing |
Gradio Cloud | Free tier | 2 min | Private, team access |
Render | Free tier | 10 min | Custom domain |
Local | Free | 1 min | Full control |
π Troubleshooting
Common Issues:
Model download fails
- Solution: Models auto-download on first run (may take 2-3 minutes)
Camera not working
- Solution: Browser security - allow camera access
Out of memory
- Solution: Use CPU inference (already configured)
Slow startup
- Solution: Normal for first run, subsequent loads are fast
π Success!
Once deployed, your SafetyMaster Pro Gradio app will have:
- β Professional UI - Clean, modern interface
- β Real-time detection - Live camera monitoring
- β Easy sharing - Send link to anyone
- β Mobile friendly - Works on phones/tablets
- β No installation - Users just visit the URL
π Next Steps
- Test locally:
python gradio_interface.py
- Choose platform: Hugging Face Spaces recommended
- Deploy: Upload files and go live!
- Share: Send the URL to your team
Ready to deploy? Start with Hugging Face Spaces for the easiest experience! π