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Use an official Python 3.10 base image
FROM python:3.10-slim-buster
Set the working directory inside the container
WORKDIR /app
Copy requirements.txt (if you have one) to the container
COPY requirements.txt .
Install necessary system dependencies (if any)
For example, if TensorFlow requires build-essential:
RUN apt-get update && apt-get install -y --no-install-recommends
build-essential
&& rm -rf /var/lib/apt/lists/*
Install Python dependencies using pip
Use --no-cache-dir for smaller image size. And use --upgrade pip
RUN pip install --upgrade pip
RUN pip install --no-cache-dir pandas tensorflow numpy
Alternative using a requirements.txt:
RUN pip install --no-cache-dir -r requirements.txt
Copy your application code (if any) to the container
COPY . .
Define the command to run when the container starts
(Optional: If you have a specific script to run)
CMD ["python", "your_script.py"]