| # Use a lightweight Python base image | |
| FROM python:3.10-slim | |
| # Set environment variables for HuggingFace Transformers cache | |
| ENV HF_HOME=/tmp/hf-cache \ | |
| PYTHONDONTWRITEBYTECODE=1 \ | |
| PYTHONUNBUFFERED=1 | |
| # Set working directory inside the container | |
| WORKDIR /app | |
| # Install system dependencies | |
| RUN apt-get update && apt-get install -y --no-install-recommends \ | |
| build-essential \ | |
| && rm -rf /var/lib/apt/lists/* | |
| # Copy only requirements first to leverage Docker layer caching | |
| COPY requirements.txt . | |
| # Install Python dependencies | |
| RUN pip install --upgrade pip \ | |
| && pip install --no-cache-dir -r requirements.txt | |
| # Copy the rest of the application code | |
| COPY . . | |
| # Create cache directory (if not created by app itself) | |
| #RUN mkdir -p /app/cache | |
| # Expose FastAPI's default port | |
| EXPOSE 7860 | |
| # Run the FastAPI app with Uvicorn | |
| CMD ["uvicorn", "app.app:app", "--host", "0.0.0.0", "--port", "7860"] | |