| import subprocess
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| import sys
|
|
|
|
|
| print("🚀 Starting AI Voice Enhancer API...")
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| subprocess.Popen([sys.executable, "api.py"])
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|
|
|
|
| import gradio as gr
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|
|
|
|
| with gr.Blocks(title="AI Voice Enhancer API") as demo:
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| gr.Markdown("""
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| # 🎙️ AI Voice Enhancer API
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|
|
| ## ✅ Backend API is Running
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|
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| This Space provides a REST API for audio enhancement.
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|
|
| ### 📡 Available Endpoints:
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|
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| - **GET** `/` - API information
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| - **GET** `/health` - Health check
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| - **POST** `/enhance` - Enhance audio file
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| - **DELETE** `/cleanup` - Clean temporary files
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|
|
| ### 🔧 How to Use:
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|
|
| #### Option 1: Use the Frontend (Recommended)
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|
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| Download the frontend files from the repository and open `index.html`:
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| 1. Enter this Space's URL in the API settings
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| 2. Upload your audio file
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| 3. Adjust enhancement levels
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| 4. Click "Enhance Audio"
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|
|
| #### Option 2: Direct API Call
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|
|
| ```bash
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| curl -X POST "https://YOUR-SPACE-NAME.hf.space/enhance" \\
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| -F "file=@input.wav" \\
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| -F "speech_level=80" \\
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| -F "background_level=85" \\
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| -o enhanced.wav
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| ```
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|
|
| #### Option 3: Python
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|
|
| ```python
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| import requests
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|
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| url = "https://YOUR-SPACE-NAME.hf.space/enhance"
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| files = {"file": open("input.wav", "rb")}
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| data = {"speech_level": 80, "background_level": 85}
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|
|
| response = requests.post(url, files=files, data=data)
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|
|
| with open("enhanced.wav", "wb") as f:
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| f.write(response.content)
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| ```
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|
|
| ### 🎚️ Parameters:
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|
|
| - **speech_level**: 0-100 (default: 80) - Voice clarity enhancement
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| - **background_level**: 0-100 (default: 85) - Noise reduction strength
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|
|
| ### 📊 Supported Formats:
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|
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| WAV, MP3, M4A, FLAC, OGG, AAC
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|
|
| ### ⚙️ Tech Stack:
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|
|
| - FastAPI for REST API
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| - Facebook Denoiser (DNS) for noise suppression
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| - Multi-stage FFmpeg processing for clarity
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| - EBU R128 loudness normalization
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|
|
| ---
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|
|
| **Note**: The FastAPI server is running in the background on port 7860.
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| This Gradio interface is just for display purposes.
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| """)
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|
|
| gr.Markdown("### 🧪 Test the API")
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|
|
| with gr.Row():
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| test_url = gr.Textbox(
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| label="API Endpoint",
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| value="/health",
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| placeholder="/health"
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| )
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| test_btn = gr.Button("Test Endpoint", variant="primary")
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|
|
| test_output = gr.JSON(label="Response")
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|
|
| def test_endpoint(endpoint):
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| import requests
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| try:
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| url = f"http://localhost:7860{endpoint}"
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| response = requests.get(url, timeout=5)
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| return response.json()
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| except Exception as e:
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| return {"error": str(e)}
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|
|
| test_btn.click(fn=test_endpoint, inputs=test_url, outputs=test_output)
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|
|
|
|
| demo.launch(server_name="0.0.0.0", server_port=7861)
|
|
|
