Refactor Dockerfile for lightweight audio synthesis

Updated the Dockerfile to use a slim Python 3.10 image, streamlined system dependencies for audio processing, and removed CUDA support for PyTorch. Added a health check to ensure application stability. This change optimizes the Docker image for audio synthesis tasks.

Dockerfile

@@ -1,25 +1,18 @@
-# Use Python 3.10 with CUDA support for GPU acceleration
+# Use lightweight Python 3.10 for audio synthesis
 FROM python:3.10-slim
 
 # Set working directory
 WORKDIR /app
 
-# Install system dependencies
+# Install minimal system dependencies for audio processing
 RUN apt-get update && apt-get install -y \
     build-essential \
-    git \
     && rm -rf /var/lib/apt/lists/*
 
 # Copy requirements file first for better Docker layer caching
 COPY requirements.txt .
 
-# Install PyTorch with CUDA support for GPU acceleration
-# Hugging Face Spaces provides CUDA runtime, so we use CUDA-enabled PyTorch
-RUN pip install --no-cache-dir torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
-
-# Install remaining Python dependencies
-# Note: pip will skip torch since it's already installed (satisfies requirements.txt)
-# The git dependency in requirements.txt requires git (already installed above)
+# Install Python dependencies (numpy and scipy only)
 RUN pip install --no-cache-dir -r requirements.txt
 
 # Copy application files
@@ -29,10 +22,14 @@ COPY README.md .
 # Expose Gradio default port
 EXPOSE 7860
 
-# Set environment variables
+# Set environment variables for Gradio
 ENV GRADIO_SERVER_NAME=0.0.0.0
 ENV GRADIO_SERVER_PORT=7860
 
+# Health check (optional)
+HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
+    CMD python -c "import numpy as np; print('Health check passed')"
+
 # Run the application
 CMD ["python", "app.py"]