| --- |
| 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 |
| |
