Initial Python implementation with ONNX Runtime

- Multi-stage Docker build (simplified to single-stage with pre-converted ONNX)
- HTTP server with ONNX inference
- API secret authentication
- Uses pre-converted all-MiniLM-L6-v2 ONNX model from onnx-community
- Image size: ~373 MB

Generated by Mistral Vibe.
Co-Authored-By: Mistral Vibe <vibe@mistral.ai>

Dockerfile

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+# Minimal image: ~200-250MB
+# Uses pre-converted ONNX model from onnx-community
+
+FROM python:3.11-slim
+WORKDIR /app
+
+# Install runtime dependencies and download model
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends wget && \
+    pip install --no-cache-dir onnxruntime numpy && \
+    # Download pre-converted ONNX model and tokenizer files
+    wget -q https://huggingface.co/onnx-community/all-MiniLM-L6-v2-ONNX/resolve/main/onnx/model.onnx -O /app/model.onnx && \
+    wget -q https://huggingface.co/onnx-community/all-MiniLM-L6-v2-ONNX/resolve/main/onnx/model.onnx_data -O /app/model.onnx_data && \
+    wget -q https://huggingface.co/onnx-community/all-MiniLM-L6-v2-ONNX/resolve/main/tokenizer.json -O /app/tokenizer.json && \
+    wget -q https://huggingface.co/onnx-community/all-MiniLM-L6-v2-ONNX/resolve/main/tokenizer_config.json -O /app/tokenizer_config.json && \
+    wget -q https://huggingface.co/onnx-community/all-MiniLM-L6-v2-ONNX/resolve/main/vocab.txt -O /app/vocab.txt && \
+    wget -q https://huggingface.co/onnx-community/all-MiniLM-L6-v2-ONNX/resolve/main/config.json -O /app/config.json && \
+    # Clean up
+    apt-get remove -y wget 2>/dev/null || true && \
+    apt-get clean && \
+    rm -rf /var/lib/apt/lists/* /tmp/* /root/.cache /var/cache/apt/*
+
+COPY server.py .
+
+EXPOSE 8080
+ENV PORT=8080
+CMD ["python", "server.py"]