Update README.md

README.md

@@ -1,62 +1,73 @@
-# Audio Emotion Detection API
-
-This application provides an API for detecting emotions in audio files using the wav2vec2 model fine-tuned for emotion recognition.
-
-## Features
-
-- Upload audio files for emotion analysis
-- List all uploaded recordings
-- Download previously uploaded recordings
-- Analyze existing recordings
-- Delete recordings
-
-## API Endpoints
-
-- `GET /health` - Health check endpoint
-- `POST /upload` - Upload and analyze an audio file
-- `GET /recordings` - List all uploaded recordings
-- `GET /recordings/{filename}` - Download a specific recording
-- `GET /analyze/{filename}` - Analyze an existing recording
-- `DELETE /recordings/{filename}` - Delete a recording
-
-## Supported Audio Formats
-
-- WAV
-- MP3
-- OGG
-- FLAC
-
-## File Size Limits
-
-Maximum file size: 10MB
-
-## Usage Example
-
-```python
-import requests
-
-# Upload and analyze an audio file
-with open('your_audio.wav', 'rb') as f:
-    files = {'file': f}
-    response = requests.post('https://your-space-url.hf.space/upload', files=files)
-    print(response.json())
-```
-
-## Technical Details
-
-- Based on FastAPI
-- Uses Hugging Face's wav2vec2-base-superb-er model for emotion recognition
-- Optimized for Hugging Face Spaces deployment
-- Automatic file cleanup to manage storage limits
-
-## Storage Management
-
-Files are automatically cleaned up after 24 hours to manage storage limits on Hugging Face Spaces.
-
-## Development
-
-To run this API locally:
-
-1. Install dependencies: `pip install -r requirements.txt`
-2. Run the server: `python app.py`
+---
+title: Audio Emotion Detection API
+emoji: 🎵
+colorFrom: blue
+colorTo: purple
+sdk: docker
+sdk_version: "latest"
+app_file: app.py
+pinned: false
+---
+
+# Audio Emotion Detection API
+
+This application provides an API for detecting emotions in audio files using the wav2vec2 model fine-tuned for emotion recognition.
+
+## Features
+
+- Upload audio files for emotion analysis
+- List all uploaded recordings
+- Download previously uploaded recordings
+- Analyze existing recordings
+- Delete recordings
+
+## API Endpoints
+
+- `GET /health` - Health check endpoint
+- `POST /upload` - Upload and analyze an audio file
+- `GET /recordings` - List all uploaded recordings
+- `GET /recordings/{filename}` - Download a specific recording
+- `GET /analyze/{filename}` - Analyze an existing recording
+- `DELETE /recordings/{filename}` - Delete a recording
+
+## Supported Audio Formats
+
+- WAV
+- MP3
+- OGG
+- FLAC
+
+## File Size Limits
+
+Maximum file size: 10MB
+
+## Usage Example
+
+```python
+import requests
+
+# Upload and analyze an audio file
+with open('your_audio.wav', 'rb') as f:
+    files = {'file': f}
+    response = requests.post('https://your-space-url.hf.space/upload', files=files)
+    print(response.json())
+```
+
+## Technical Details
+
+- Based on FastAPI
+- Uses Hugging Face's wav2vec2-base-superb-er model for emotion recognition
+- Optimized for Hugging Face Spaces deployment
+- Automatic file cleanup to manage storage limits
+
+## Storage Management
+
+Files are automatically cleaned up after 24 hours to manage storage limits on Hugging Face Spaces.
+
+## Development
+
+To run this API locally:
+
+1. Install dependencies: `pip install -r requirements.txt`
+2. Run the server: `python app.py`
 3. Access the Swagger documentation at `http://localhost:7860/docs`