Real-Time Emotion Detection App

This Streamlit application uses deep learning to detect emotions in real-time using your webcam. The app uses a pre-trained CNN model to classify emotions into 7 categories:

• Angry
• Disgust
• Fear
• Happy
• Sad
• Surprise
• Neutral

Features

• Real-time emotion detection using webcam
• FPS counter
• Emotion history tracking
• Color-coded emotion labels
• Confidence scores for each prediction

Installation

1. Clone this repository
2. Install the required dependencies:

   pip install -r requirements.txt
   

3. Run the app:

   streamlit run app.py
   

Deployment

This app is deployed on Streamlit Cloud. You can access it at [Streamlit Cloud URL].

Requirements

• Python 3.8+
• Webcam access
• Internet connection for initial model download