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title: Real-Time Emotion Detection
emoji: 😊
colorFrom: green
colorTo: blue
sdk: gradio
sdk_version: 6.5.1
app_file: app.py
pinned: false
license: mit
---
# 😊 Real-Time Emotion Detection
A deep learning app that detects human facial emotions from images using a **CNN trained with Keras/TensorFlow**, deployed via **Gradio** on Hugging Face Spaces.
## How to Use
1. Upload a photo **or** click the webcam icon to capture a live photo
2. The model will detect faces in the image
3. Each detected face will be labeled with the predicted emotion and confidence score
## Detectable Emotions
| Emotion | Label |
|------------|-------|
| 😠 Angry | 0 |
| 😄 Happy | 1 |
| 😐 Neutral | 2 |
| 😢 Sad | 3 |
| 😲 Surprised | 4 |
## Model Details
- **Architecture:** Custom CNN (3 Conv layers + Dense)
- **Input:** 48×48 grayscale face image
- **Output:** Softmax probabilities over 5 emotion classes
- **Face Detection:** OpenCV Haar Cascade (`haarcascade_frontalface_default.xml`)
## Tech Stack
- TensorFlow / Keras
- OpenCV
- Gradio
- NumPy |