countgd / Dockerfile
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# Use the specified Python runtime as a parent image
FROM docker.io/nvidia/cuda:12.1.0-cudnn8-devel-ubi8@sha256:f045009cab64c9fda6113b4473ac1c57dfcca65e18ce981bce63f3cddf7b807a
# Set the working directory in the container
WORKDIR /usr/src/app
# Install required packages
RUN apt-get update && apt-get install -y \
gcc-11 \
build-essential \
ffmpeg \
libsm6 \
libxext6 \
curl \
git \
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/*
# Set environment variable to use gcc-11
ENV CC=/usr/bin/gcc-11
# Copy the current directory contents into the container
COPY . .
# Install any needed packages specified in requirements.txt
RUN pip install --no-cache-dir -r requirements.txt
# Set the working directory for the GroundingDINO ops
WORKDIR /usr/src/app/models/GroundingDINO/ops
# Run the setup script and the test script
RUN python setup.py build install
RUN python test.py # This should result in 6 lines of * True
# Install Gradio
RUN pip install gradio
# Change back to the original working directory
WORKDIR /usr/src/app
# Expose the port Gradio will run on
EXPOSE 7860
# Default command to run the Gradio app
CMD ["python", "app.py"]