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title: "Real-Time Emotion Detection (RTED)"
emoji: "😊"
cover_image: "cover.png"
sdk: "docker"
sdk_version: "3.0.0"
app_file: "app.py"
python_version: "3.9"
pinned: false
---
# Real-Time Emotion Detection (RTED)
This app uses a deep learning model to classify emotions from images and real-time video streams.
### How It Works
1. **Choose a Detection Mode:**
- **Static Detection:** Upload an image.
- **Real-Time Detection:** (Currently disabled due to Hugging Face webcam restrictions).
2. **Model Predictions:**
- The model predicts emotions from 7 categories:
**Angry, Disgust, Fear, Happy, Neutral, Sad, Surprise**
3. **File Structure:**
- **Model File:** `model/RAFDB_Custom.h5` (Ensure this exists)
- **Static Files:** Inside `static/`
---
### Running the App Locally
```bash
pip install -r requirements.txt
python app.py
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