Spaces:
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added dockerfile
Browse files- Dockerfile +47 -0
Dockerfile
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# Use an official Python runtime as a parent image
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FROM nvidia/cuda:11.7.0-base-ubuntu20.04
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# Set the working directory
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WORKDIR /app
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# Install git, wget, build-essential
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RUN apt-get update && apt-get install -y git wget build-essential
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# Install Miniconda
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RUN wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
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bash Miniconda3-latest-Linux-x86_64.sh -b -p /miniconda && \
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rm Miniconda3-latest-Linux-x86_64.sh
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ENV PATH="/miniconda/bin:${PATH}"
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# Clone the repository
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RUN git clone https://github.com/DjKesu/tortoise-tts-fast-cloning /app/tortoise5c
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# Change the working directory to the tortoise-tts-fast directory
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WORKDIR /app/tortoise5c
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# Create the Conda environment
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RUN conda create -n tts5x python=3.8 && \
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echo "source activate tts5x" > ~/.bashrc
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ENV PATH /miniconda/envs/ttts-fast/bin:$PATH
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# Set the shell for the following commands to use the Conda environment "ttts-fast"
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SHELL ["conda", "run", "-n", "ttts-fast", "/bin/bash", "-c"]
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# Install the necessary packages
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RUN conda install -y pytorch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1 -c pytorch -c nvidia && \
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conda install -c anaconda gdbm && \
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pip install -e . && \
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pip install git+https://github.com/152334H/BigVGAN.git && \
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pip install streamlit
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# Make port 8501 available to the world outside this container
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EXPOSE 8501
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# Define environment variable
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ENV NAME tortoise-tts
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# List the contents of the /app directory
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RUN ls -al /app
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# Run the application
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CMD ["streamlit", "run", "app.py"]
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