File size: 1,668 Bytes
18afa0b dc7f17f 18afa0b 8fdbefd 18afa0b 2470b12 f8857a1 18afa0b 8fdbefd 18afa0b 2470b12 f8857a1 18afa0b |
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 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 |
# read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
# you will also find guides on how best to write your Dockerfile
FROM continuumio/anaconda3:2024.02-1
WORKDIR /code
COPY ./requirements.txt /code/requirements.txt
RUN apt-get update
RUN apt-get install gcc -y
RUN pip install -r /code/requirements.txt
RUN conda install pytorch::faiss-gpu --yes
# Download foldseek
RUN wget 'https://drive.usercontent.google.com/download?id=1B_9t3n_nlj8Y3Kpc_mMjtMdY0OPYa7Re&export=download&authuser=0' -O /tmp/foldseek
RUN chmod +x /tmp/foldseek
# Download TMalign
RUN wget 'https://drive.google.com/file/d/1waxLyL2MLCxyHyIlQe7zkeHy8lzuDThu/view?usp=sharing' -O /tmp/TMalign
RUN chmod +x /tmp/TMalign
# Download ProTrek model
RUN huggingface-cli download westlake-repl/ProTrek_650M_UniRef50 --repo-type model --local-dir /data/ProTrek_650M_UniRef50
RUN ls /data
# Download ProTrek faiss index
RUN huggingface-cli download westlake-repl/ProTrek-faiss-index --repo-type dataset --local-dir /data/ProTrek-faiss-index --include "ProTrek_650M_UniRef50/Swiss-Prot/*"
RUN ls /data
# Set up a new user named "user" with user ID 1000
RUN useradd -m -u 1000 user
# Set home to the user's home directory
ENV HOME=/home/user \
PYTHONPATH=$HOME/app \
PYTHONUNBUFFERED=1 \
GRADIO_ALLOW_FLAGGING=never \
GRADIO_NUM_PORTS=1 \
GRADIO_SERVER_NAME=0.0.0.0 \
GRADIO_THEME=huggingface \
SYSTEM=spaces
# Set the working directory to the user's home directory
WORKDIR $HOME/app
# Copy the current directory contents into the container at $HOME/app setting the owner to the user
COPY --chown=user . $HOME/app
#COPY . .
CMD ["python", "run.py"] |