Create Dockerfile

Dockerfile

@@ -0,0 +1,35 @@
+# Use a slim Python image
+FROM python:3.10-slim
+
+# Install g++ and OpenMP for the C++ code
+RUN apt-get update && apt-get install -y \
+    g++ \
+    libomp-dev \
+    && rm -rf /var/lib/apt/lists/*
+
+# Set the working directory
+WORKDIR /app
+
+# Copy all your files into the container
+COPY . /app
+
+# Compile the C++ inference engine. 
+# IMPORTANT: I removed `-mavx2` for compatibility on Hugging Face's free tier.
+# It can cause issues on some cloud CPUs. We are generating a Linux binary called 'inference'.
+RUN g++ -O3 -march=native -fopenmp -mfma -std=c++17 inference.cpp -o inference -lm
+
+# Make the compiled binary executable
+RUN chmod +x inference
+
+# Install your Python requirements
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Create a user to run the app (HF requirement for some spaces)
+RUN useradd -m appuser && chown -R appuser /app
+USER appuser
+
+# Expose port 7860 (Hugging Face standard)
+EXPOSE 7860
+
+# Command to run your FastAPI app
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]