A newer version of the Gradio SDK is available: 6.22.0
metadata
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
- Upload a photo or click the webcam icon to capture a live photo
- The model will detect faces in the image
- 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