README.md

metadata

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/

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Running the App Locally

pip install -r requirements.txt
python app.py