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README_HF.md

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-# SafeSpace AI API
-
-**AI-powered threat detection and safety analysis** 🛡️
-
-This FastAPI application provides intelligent threat detection and sentiment analysis capabilities using machine learning models.
-
-## 🚀 Features
-
-- **Threat Detection**: AI-powered analysis of potential threats
-- **Sentiment Analysis**: Emotional tone detection in text
-- **Location-based Analysis**: Geographic threat assessment
-- **Real-time Processing**: Fast API responses for real-time applications
-
-## 🤖 ML Models
-
-- `Threat.pkl`: Binary classification for threat detection
-- `sentiment.pkl`: Sentiment and emotion analysis
-- `contextClassifier.onnx`: Context understanding model
-
-## 📡 API Endpoints
-
-- `GET /`: API status and information
-- `GET /health`: Health check endpoint
-- `POST /api/threats/analyze`: Analyze text for threats
-- `GET /api/models/status`: Check model loading status
-- `GET /docs`: Interactive API documentation
-
-## 🔧 Usage
-
-### Analyze Threat
-
-```python
-import requests
-
-response = requests.post(
-    "https://your-space-name-username.hf.space/api/threats/analyze",
-    json={
-        "title": "Suspicious Activity",
-        "description": "There's something concerning happening",
-        "location": "New York, NY"
-    }
-)
-
-result = response.json()
-print(f"Threat Level: {result['threat_level']}")
-print(f"Confidence: {result['final_confidence']}")
-```
-
-## 🛠️ Development
-
-Built with:
-- **FastAPI** - Modern, fast web framework
-- **scikit-learn** - Machine learning models
-- **ONNX Runtime** - Optimized inference
-- **Uvicorn** - ASGI server
-
-## 📝 License
-
-This project is part of the SafeSpace application for enhanced public safety through AI.
-
----
-
-*Deployed on Hugging Face Spaces* 🤗