Spaces:
Sleeping
Sleeping
Add Docker support
#2
by
janwari
- opened
- Dockerfile +28 -0
- README.md +28 -2
- docker-compose.yml +13 -0
Dockerfile
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FROM --platform=arm64 python:3.10
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ARG GRADIO_SERVER_PORT=7860
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ARG GRADIO_SERVER_NAME="0.0.0.0"
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ENV PYTHONFAULTHANDLER=1 \
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PYTHONUNBUFFERED=1 \
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PYTHONHASHSEED=random \
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PIP_NO_CACHE_DIR=1 \
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PIP_DISABLE_PIP_VERSION_CHECK=1 \
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PIP_DEFAULT_TIMEOUT=100 \
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GRADIO_SERVER_PORT=${GRADIO_SERVER_PORT} \
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GRADIO_SERVER_NAME=${GRADIO_SERVER_NAME}
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# Install Gradio dependency
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RUN apt-get update && apt-get install -y ffmpeg
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WORKDIR /app
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COPY requirements.txt /app
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# Strip out GPU packages as we will only use CPU
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RUN sed -i '/nvidia\|triton/d' requirements.txt \
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&& pip install -r requirements.txt
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COPY . /app
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EXPOSE $GRADIO_SERVER_PORT
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CMD ["python", "/app/app.py"]
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README.md
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@@ -16,6 +16,32 @@ license: cc-by-nc-4.0
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This is an example of using the [MERT-v1-95M](https://huggingface.co/m-a-p/MERT-v1-95M) model as backbone to conduct multiple music understanding tasks with the universal represenation.
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The tasks include EMO, GS, MTGInstrument, MTGGenre, MTGTop50, MTGMood, NSynthI, NSynthP, VocalSetS, VocalSetT.
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More models can be referred at the [map organization page](https://huggingface.co/m-a-p).
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This is an example of using the [MERT-v1-95M](https://huggingface.co/m-a-p/MERT-v1-95M) model as backbone to conduct multiple music understanding tasks with the universal represenation.
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The tasks include EMO, GS, MTGInstrument, MTGGenre, MTGTop50, MTGMood, NSynthI, NSynthP, VocalSetS, VocalSetT.
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More models can be referred at the [map organization page](https://huggingface.co/m-a-p).
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# Run Local Docker
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If you want to run this locally on your MacOS (M1/M2) without having to deal with installing all the dependencies yourself you can use Docker to run the app locally.
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### Docker CLI
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Using below commands you can build image and run container locally:
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```shell
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$ docker build -t isai .
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$ docker run -p 7860:7860 -it isai
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```
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The app is now available locally at http://localhost:7860/
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### Docker Compose
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If there is a desire to tweak or experiment further you can also run the app using Docker Compose.
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```shell
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$ docker-compose build
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$ docker-compose up -d
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$ docker-compose exec app bash
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root@cc9b8397a349:/app# python app.py
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```
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docker-compose.yml
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version: '3.5'
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services:
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app:
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build: .
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image: isai
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container_name: isai
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working_dir: /app
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command: tail -f /dev/null # Keep container alive
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ports:
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- 7860:7860
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volumes:
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- .:/app
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