revcode-ai-engine / Dockerfile
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FROM python:3.10-slim
WORKDIR /app
# Install system dependencies
RUN apt-get update && apt-get install -y \
build-essential \
git \
&& rm -rf /var/lib/apt/lists/*
# Copy requirements and install
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
# Copy the application code
COPY . .
# Set environment variables for the ML engine
ENV PYTHONUNBUFFERED=1
ENV PORT=7860
# Expose the port FastAPI runs on
EXPOSE 7860
# Command to run the application using gunicorn for higher stability
# We use uvicorn workers for high-concurrency FastAPI support
CMD ["gunicorn", "app:app", "--workers", "1", "--worker-class", "uvicorn.workers.UvicornWorker", "--bind", "0.0.0.0:7860", "--timeout", "600"]