docker update

Dockerfile

@@ -1,65 +1,49 @@
-# Use a lightweight Python image optimized for ML workloads
+# Use Python 3.10 slim for ML workloads
 FROM python:3.10-slim
 
 # Set working directory
 WORKDIR /app
 
-# Set environment variables for better performance
+# Set environment variables
 ENV PYTHONUNBUFFERED=1 \
     PYTHONDONTWRITEBYTECODE=1 \
-    DEBIAN_FRONTEND=noninteractive
+    DEBIAN_FRONTEND=noninteractive \
+    PORT=7860
 
-# Install system-level dependencies
-RUN apt-get update && \
-    apt-get install -y \
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
     ffmpeg \
     libsndfile1 \
+    libasound2-dev \
+    portaudio19-dev \
     wget \
     curl \
     git \
     build-essential \
     && rm -rf /var/lib/apt/lists/*
 
-ENV PORT=7860
-
-# Create non-root user to avoid git permission issues
-RUN useradd -m appuser && chown -R appuser /app
-
-# Set HOME explicitly to match the non-root user
-ENV HOME=/home/appuser
-
-# Switch to appuser for git config
-USER appuser
-
-# Configure git to avoid permission issues during HF build
-RUN git config --global --add safe.directory /app && \
-    git config --global user.email "[email protected]" && \
-    git config --global user.name "peace2024"
-
-USER root
-
-# Copy requirements first to leverage Docker layer caching
+# Copy requirements first for better caching
 COPY requirements-hf.txt .
 
-# Upgrade pip and install Python dependencies
+# Install Python dependencies
 RUN pip install --no-cache-dir --upgrade pip && \
     pip install --no-cache-dir -r requirements-hf.txt
 
-# Copy the entire app source code
+# Install PyTorch CPU (before copying app code)
+RUN pip install --no-cache-dir torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
+
+# Copy app source code
 COPY . .
 
 # Create necessary directories
 RUN mkdir -p vector_store logs
 
-# Expose port 7860 (used by Hugging Face Spaces)
+# Expose port
 EXPOSE 7860
 
-# Install PyTorch CPU wheels (Spaces default)
-RUN pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
-
 # Health check
-HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \
-    CMD curl -f http://localhost:7860/docs || exit 1
+HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
+    CMD curl -f http://localhost:7860/ || exit 1
 
-# Run uvicorn directly (no supervisord)
-CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860", "--workers", "1"]
+# Run FastAPI app
+CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]