Merge pull request #135 from JSchmie/update_dockerfile
Update dockerfile
This commit is contained in:
Jacob Schmieder
@@ -0,0 +1,95 @@
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# This workflow uses actions that are not certified by GitHub.
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# They are provided by a third-party and are governed by
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# separate terms of service, privacy policy, and support
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# documentation.
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# GitHub recommends pinning actions to a commit SHA.
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# To get a newer version, you will need to update the SHA.
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# You can also reference a tag or branch, but the action may change without warning.
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name: Publish Docker image
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on:
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push:
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tags:
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- v*
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workflow_dispatch:
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env:
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image: hadr0n/scraibe
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jobs:
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push_to_registry:
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name: Push Docker image to Docker Hub
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runs-on: ubuntu-latest
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permissions:
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packages: write
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contents: read
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security-events: write
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steps:
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- name: Check out the repo
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uses: actions/checkout@v4
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with:
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fetch-tags: true
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fetch-depth: 0
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- name: Get Version Tag
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id: version
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run: |
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echo "tag=$(git describe --tags --abbrev=0)" >> $GITHUB_OUTPUT
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- name: Overwrite label tag
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run: sed -i 's/LABEL version=".*"/LABEL version="'${{ steps.version.outputs.tag }}'"/' Dockerfile
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- name: Test name and tag
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run: |
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echo "${{ env.image }}:latest,${{ env.image }}:${{ steps.version.outputs.tag }}"
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- name: Log in to Docker Hub
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uses: docker/login-action@v3
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with:
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username: ${{ secrets.DOCKERHUB_USERNAME }}
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password: ${{ secrets.DOCKERHUB_TOKEN }}
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- name: Build and push Docker image
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id: push
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uses: docker/build-push-action@v5
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with:
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context: .
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file: ./Dockerfile
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push: true
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tags: "${{ env.image }}:latest,${{ env.image }}:${{ steps.version.outputs.tag }}"
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- name: SBOM Generation
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uses: anchore/sbom-action@v0
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with:
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image: ${{ env.image }}:latest
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- name: Scan image
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id: scan
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uses: anchore/scan-action@v3
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with:
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image: ${{ env.image }}:latest
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fail-build: false
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- name: upload Anchore scan SARIF report
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uses: github/codeql-action/upload-sarif@v3
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with:
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sarif_file: ${{ steps.scan.outputs.sarif }}
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# - name: Inspect action SARIF report
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# run: cat ${{ steps.scan.outputs.sarif }}
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- uses: actions/upload-artifact@v4
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with:
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name: SARIF report
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path: ${{ steps.scan.outputs.sarif }}
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# - name: Generate artifact attestation
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# uses: actions/attest-build-provenance@v1
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# with:
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# subject-name: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME}}
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# subject-digest: ${{ steps.push.outputs.digest }}
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# push-to-registry: false
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+18
-20
@@ -1,5 +1,5 @@
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#pytorch Image
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FROM pytorch/pytorch:1.11.0-cuda11.3-cudnn8-runtime
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FROM pytorch/pytorch:2.3.1-cuda12.1-cudnn8-runtime
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# Labels
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@@ -14,33 +14,31 @@ LABEL url="https://github.com/JSchmie/ScrAIbe"
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# Install dependencies
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WORKDIR /app
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ARG model_name=medium
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#Enviorment Dependncies
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ENV TRANSFORMERS_CACHE /app/models
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ENV HF_HOME /app/models
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ENV AUTOT_CACHE /app/models
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ENV PYANNOTE_CACHE /app/models/pyannote
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#Enviorment dependencies
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ENV TRANSFORMERS_CACHE=/app/models
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ENV HF_HOME=/app/models
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ENV AUTOT_CACHE=/app/models
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ENV PYANNOTE_CACHE=/app/models/pyannote
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#Copy all necessary files
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COPY requirements.txt /app/requirements.txt
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COPY README.md /app/README.md
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COPY models /app/models
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COPY scraibe /app/scraibe
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COPY setup.py /app/setup.py
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#Installing all necessary Dependencies and Running the Application with a personalised Hugging-Face-Token
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RUN apt update && apt-get install -y libsm6 libxrender1 libfontconfig1
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RUN conda update --all
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#Installing all necessary dependencies and running the application with a personalised Hugging-Face-Token
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RUN apt update -y && apt upgrade -y && \
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apt install -y libsm6 libxrender1 libfontconfig1 && \
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apt clean && \
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rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
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RUN conda install pip
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RUN conda install -y ffmpeg
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RUN conda install -c conda-forge libsndfile
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RUN pip install torchaudio==0.11.0+cu113 -f https://download.pytorch.org/whl/torch_stable.html
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RUN pip install -r requirements.txt
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RUN pip install markupsafe==2.0.1 --force-reinstall
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RUN conda update --all && \
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# conda install -y pip ffmpeg && \
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conda install -c conda-forge libsndfile && \
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conda clean --all -y
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# RUN pip install torchaudio==0.11.0+cu113 -f https://download.pytorch.org/whl/torch_stable.html
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RUN pip install --no-cache-dir -r requirements.txt
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RUN python3 -m 'scraibe.cli' --whisper-model-name $model_name
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# Expose port
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EXPOSE 7860
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# Run the application
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ENTRYPOINT ["python3", "-m", "scraibe.cli" ,"--whisper-model-name", "$model_name"]
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ENTRYPOINT ["python3", "-m", "scraibe.cli"]
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