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FROM docker.io/pytorch/pytorch:2.5.1-cuda12.1-cudnn9-runtime
WORKDIR /code
RUN apt-get update && \
apt-get install -y git && \
apt install -y default-jre
RUN git clone https://github.com/mumbert/dcase2024-task6-baseline-project.git && \
cd dcase2024-task6-baseline-project
WORKDIR /code/dcase2024-task6-baseline-project
RUN pip install --force-reinstall pip==23.0 && \
pip install -e . && \
exit 0
RUN pip install matplotlib==3.10.1 seaborn==0.13.2 spacy==3.8.4 && \
python -m spacy download en_core_web_sm && \
exit 0
RUN pip install gradio==5.21.0 && \
exit 0
# RUN python src/dcase24t6/test_installation.py
# RUN huggingface-hub==0.27.1
# RUN wget https://zenodo.org/records/10849427/files/epoch_192-step_001544-mode_min-val_loss_3.3758.ckpt?download=1 && \
# wget https://zenodo.org/records/10849427/files/tokenizer.json?download=1
# pip install -e . --use-deprecated=legacy-resolver && \
# pip install -e .[dev] --use-deprecated=legacy-resolver \
# COPY /home/mumbert/.cache/huggingface/stored_tokens /root/.cache/huggingface/stored_tokens
# RUN dcase24t6-prepare
# Set up a new user named "user" with user ID 1000
# RUN useradd -m -u 1000 user
# Switch to the "user" user
#USER user
# Set home to the user's home directory
#ENV HOME=/home/user \
# PATH=/home/user/.local/bin:$PATH
# Set the working directory to the user's home directory
#WORKDIR $HOME/app
# RUN pip install gradio
# Copy the current directory contents into the container at $HOME/app setting the owner to the user
#COPY --chown=user . $HOME/app
WORKDIR /code/dcase2024-task6-baseline-project
COPY . .
ENV MPLCONFIGDIR=/var/cache/matplotlib
ENV TRANSFORMERS_CACHE=/var/cache/huggingface/hub
ENV NUMBA_CACHE_DIR=/tmp/NUMBA_CACHE_DIR/
RUN mkdir -p /var/cache/matplotlib && chmod -R 777 /var/cache/matplotlib && \
mkdir -p /var/cache/huggingface/hub && chmod -R 777 /var/cache/huggingface/ && chmod -R 777 /var/cache/huggingface/hub && \
mkdir /.config && chmod -R 777 /.config && \
mkdir /nltk_data && chmod -R 777 /nltk_data && \
mkdir -p /tmp/NUMBA_CACHE_DIR && chmod -R 777 /tmp/NUMBA_CACHE_DIR
RUN pip cache purge && \
apt-get clean autoclean && \
apt-get autoremove --yes && \
rm -rf /var/lib/{apt,dpkg,cache,log}/
# rm -rf /var/lib/apt/lists/*
RUN python -c 'import torch; from dcase24t6.nn.hub import baseline_pipeline; model = baseline_pipeline()'
ENV GRADIO_SERVER_PORT=7860
ENV GRADIO_SERVER_NAME="0.0.0.0"
EXPOSE 7860
# Set up a new user named "user" with user ID 1000
RUN useradd -m -u 1000 user
# Switch to the "user" user
USER user
CMD ["python", "app.py"] |