add

Dockerfile

@@ -1,12 +1,44 @@
+# Use Python 3.11 slim image as base
 FROM python:3.11-slim
 
-WORKDIR /app
+# Set environment variables
+ENV PYTHONDONTWRITEBYTECODE=1 \
+    PYTHONUNBUFFERED=1 \
+    PYTHONPATH=/app \
+    PORT=7860
 
+# Set work directory
+WORKDIR /
+
+# Install system dependencies
+RUN apt-get update \
+    && apt-get install -y --no-install-recommends \
+        build-essential \
+        gcc \
+        curl \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements first to leverage Docker cache
 COPY requirements.txt .
-RUN pip install --no-cache-dir -r requirements.txt
 
+# Install Python dependencies
+RUN pip install --no-cache-dir --upgrade pip \
+    && pip install --no-cache-dir -r requirements.txt
+
+# Copy the rest of the application
 COPY . .
 
-EXPOSE 7860
+# Create a non-root user and set permissions
+RUN adduser --disabled-password --gecos '' appuser \
+    && chown -R appuser:appuser /app
+USER appuser
+
+# Expose port (Hugging Face typically uses port 7860 or 8080)
+EXPOSE $PORT
+
+# Health check endpoint
+HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \
+    CMD curl -f http://localhost:$PORT/health || exit 1
 
-CMD ["uvicorn", "api:app", "--host", "0.0.0.0", "--port", "7860"]
+# Run the application with uvicorn directly for better production performance
+CMD ["sh", "-c", "uvicorn api:app --host 0.0.0.0 --port $PORT"]