Update README.md

README.md

@@ -1,19 +1,21 @@
-# :earth_americas: GDP dashboard template
+---
+title: Facial Expression Classifier 😊
+emoji: 🎭
+colorFrom: indigo
+colorTo: blue
+sdk: streamlit
+sdk_version: "1.35.0"
+app_file: app.py
+pinned: false
+---
 
-A simple Streamlit app showing the GDP of different countries in the world.
+# Facial Expression Classifier
 
-[![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://gdp-dashboard-template.streamlit.app/)
+This Streamlit app uses computer vision to detect facial expressions such as happiness, sadness, anger, etc. 
+You can capture an image using your webcam or upload one, and the model will predict the emotion.
 
-### How to run it on your own machine
+✅ Built with PyTorch and Streamlit  
+📸 Uses Grad-CAM for model interpretability  
+🧠 Models supported: CNN, VGG16, ViT
 
-1. Install the requirements
-
-   ```
-   $ pip install -r requirements.txt
-   ```
-
-2. Run the app
-
-   ```
-   $ streamlit run streamlit_app.py
-   ```
+> Try it out and contribute to the dataset!