use docker instead of gradio

Dockerfile

@@ -0,0 +1,53 @@
+# Multi-stage build for hf-eda-mcp server
+FROM python:3.13-slim as builder
+
+# Set working directory
+WORKDIR /app
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    git \
+    && rm -rf /var/lib/apt/lists/*
+
+# Install PDM
+RUN pip install --no-cache-dir pdm
+
+# Copy dependency files
+COPY pyproject.toml pdm.lock* ./
+
+# Install dependencies
+RUN pdm install --prod --no-lock --no-editable
+
+# Production stage
+FROM python:3.13-slim
+
+# Set working directory
+WORKDIR /app
+
+# Install runtime dependencies
+RUN apt-get update && apt-get install -y \
+    git \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy installed dependencies from builder
+COPY --from=builder /app/.venv /app/.venv
+
+# Copy application code
+COPY src/ ./src/
+COPY README.md LICENSE ./
+
+# Set environment variables
+ENV PATH="/app/.venv/bin:$PATH"
+ENV PYTHONUNBUFFERED=1
+ENV GRADIO_SERVER_NAME="0.0.0.0"
+ENV GRADIO_SERVER_PORT=7860
+
+# Expose Gradio port
+EXPOSE 7860
+
+# Health check
+HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
+    CMD python -c "import requests; requests.get('http://localhost:7860/health', timeout=5)"
+
+# Run the MCP server
+CMD ["python", "-m", "hf_eda_mcp"]

README.md

@@ -3,11 +3,10 @@ title: HF EDA MCP Server
 emoji: 🔍
 colorFrom: blue
 colorTo: purple
-sdk: gradio
-sdk_version: 5.49.1
-app_file: app.py
+sdk: docker
 pinned: false
 license: apache-2.0
+app_port: 7860
 ---
 
 # HF EDA MCP Server