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b49a99c 865e49b b49a99c 38fe66f 52850f3 38fe66f a7ce855 b49a99c cb094fc b49a99c a7ce855 1f8af3e b49a99c 38fe66f b49a99c 2bf1180 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | # Use a base image with Python
FROM python:3.10-slim
# Install git and other build tools
# The specific command depends on the base image's package manager.
# For Debian/Ubuntu-based images like python:3.10-slim, it's apt-get.
RUN apt-get update && apt-get install -y git && rm -rf /var/lib/apt/lists/*
RUN python3 -m pip install --upgrade pip
# Set the working directory in the container
ENV CUDA_HOME=/usr/local/cuda
WORKDIR /app
# Copy the requirements file and install dependencies
COPY requirements.txt .
RUN pip install torch==2.3.0
RUN pip install --no-cache-dir --upgrade setuptools wheel packaging
RUN pip install --no-cache-dir -r requirements.txt
# Copy the rest of your application code
COPY . .
# Expose the port your application will run on
EXPOSE 7860
# Command to run your application using Uvicorn
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"] |