Dockerfile

# 1. Start with a lightweight version of Python
FROM python:3.10-slim

# 2. Set the working directory inside the container
WORKDIR /app

# 3. Copy your requirements file into the container
COPY requirements.txt .

# 4. Install the Python packages
# (We use --no-cache-dir to keep the container size small!)
RUN pip install --no-cache-dir -r requirements.txt

# 5. Copy the rest of your ml_services code into the container
COPY . .

# 6. Expose the port FastAPI will run on
EXPOSE 7860

# 7. The command to start your server
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]