Update Dockerfile

Dockerfile

@@ -1,31 +1,32 @@
-# Dockerfile (for your proxy Space)
-# --------------------
-# Use a Python base image (using a more specific and stable version)
-FROM python:3.9-slim-buster
+FROM python:3.10-slim
 
-# Create a non-root user for security best practices
-RUN useradd -m -u 1000 user
-USER user
-
-# Set the working directory inside the container
+# Set working directory
 WORKDIR /app
 
-# Ensure pip is up-to-date and then install dependencies from requirements.txt
-# This two-step process can sometimes be more robust in Docker environments.
-COPY --chown=user:user requirements.txt .
-RUN pip install --no-cache-dir --upgrade pip && \
-    pip install --no-cache-dir -r requirements.txt
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    gcc \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements first for better caching
+COPY requirements.txt .
 
-# Add the user's local bin directory to the PATH to ensure executables like uvicorn are found
-ENV PATH="/home/user/.local/bin:$PATH"
+# Install Python dependencies
+RUN pip install --no-cache-dir -r requirements.txt
 
-# Copy your application code
-COPY --chown=user:user . .
+# Copy application code
+COPY app.py .
 
-# Expose the port Hugging Face Spaces expects (7860)
+# Create non-root user for security
+RUN useradd -m -u 1000 appuser && chown -R appuser:appuser /app
+USER appuser
+
+# Expose port
 EXPOSE 7860
 
-# Command to run your FastAPI application with Uvicorn
-# Using 'python -m uvicorn' is generally more robust as it explicitly tells Python
-# to run uvicorn as a module, ensuring it's found within the environment.
-CMD ["python", "-m", "uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
+# Health check
+HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
+    CMD python -c "import requests; requests.get('http://localhost:7860/health')"
+
+# Run the application
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860", "--workers", "1"]