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| # Use an official Python runtime as a parent image | |
| FROM python:3.8-slim | |
| COPY --chown=user --from=stage /home/user/.cache /home/user/.cache | |
| # Set the working directory to /app | |
| WORKDIR /app | |
| # Copy the current directory contents into the container at /app | |
| COPY . /app | |
| RUN pip install bump-pydantic | |
| RUN bump-pydantic tortoise/models/config.py --set version 2.0.0 | |
| RUN apt-get update -y | |
| RUN apt-get install -y python-gdbm | |
| # Install any needed packages specified in requirements.txt | |
| RUN pip install --trusted-host pypi.python.org -r requirements.txt && \ | |
| pip uninstall transformers && \ | |
| pip install transformers==4.29.2 | |
| # RUN --mount=type=cache,target=/home/user/.cache/ | |
| # Make port 80 available to the world outside this container | |
| EXPOSE 80 | |
| # Set the TORTOISE_MODELS_DIR environment variable | |
| # ENV TORTOISE_MODELS_DIR tortoise/models/pretrained_models | |
| # Create the directory for pretrained models | |
| # RUN mkdir -p $TORTOISE_MODELS_DIR | |
| # RUN echo "Downloading models through docker container..." | |
| # # Download all the models | |
| # RUN wget -O $TORTOISE_MODELS_DIR/autoregressive.pth https://huggingface.co/jbetker/tortoise-tts-v2/resolve/main/.models/autoregressive.pth && \ | |
| # wget -O $TORTOISE_MODELS_DIR/classifier.pth https://huggingface.co/jbetker/tortoise-tts-v2/resolve/main/.models/classifier.pth && \ | |
| # wget -O $TORTOISE_MODELS_DIR/clvp2.pth https://huggingface.co/jbetker/tortoise-tts-v2/resolve/main/.models/clvp2.pth && \ | |
| # wget -O $TORTOISE_MODELS_DIR/cvvp.pth https://huggingface.co/jbetker/tortoise-tts-v2/resolve/main/.models/cvvp.pth && \ | |
| # wget -O $TORTOISE_MODELS_DIR/diffusion_decoder.pth https://huggingface.co/jbetker/tortoise-tts-v2/resolve/main/.models/diffusion_decoder.pth && \ | |
| # wget -O $TORTOISE_MODELS_DIR/vocoder.pth https://huggingface.co/jbetker/tortoise-tts-v2/resolve/main/.models/vocoder.pth && \ | |
| # wget -O $TORTOISE_MODELS_DIR/rlg_auto.pth https://huggingface.co/jbetker/tortoise-tts-v2/resolve/main/.models/rlg_auto.pth && \ | |
| # wget -O $TORTOISE_MODELS_DIR/rlg_diffuser.pth https://huggingface.co/jbetker/tortoise-tts-v2/resolve/main/.models/rlg_diffuser.pth && \ | |
| # wget -O $TORTOISE_MODELS_DIR/bigvgan_base_24khz_100band_g.pth https://drive.google.com/uc?id=1_cKskUDuvxQJUEBwdgjAxKuDTUW6kPdY && \ | |
| # wget -O $TORTOISE_MODELS_DIR/bigvgan_24khz_100band_g.pth https://drive.google.com/uc?id=1wmP_mAs7d00KHVfVEl8B5Gb72Kzpcavp | |
| # RUN echo "Finished downloading models through docker container..." | |
| RUN echo "Current directory contents:" | |
| RUN ls -la | |
| # Run app.py when the container launches | |
| CMD ["streamlit","run", "app.py"] | |