Spaces:
Running
Running
Build using Dockerfile rather than gradio default
Browse files- Dockerfile +42 -0
- README.md +2 -2
- app.py +3 -2
- requirements.txt +6 -0
Dockerfile
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FROM python:3.11
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# RUN pip install --no-cache-dir pip -U && \
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# pip install --no-cache-dir \
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# datasets \
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# "huggingface-hub>=0.30" \
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# "hf-transfer>=0.1.4" \
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# "protobuf<4" \
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# "click<8.1" \
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# "pydantic~=1.0"
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WORKDIR /app
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# Copy project files
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COPY . .
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RUN apt-get update && apt-get install -y \
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# git \
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# git-lfs \
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ffmpeg \
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# libsm6 \
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# libxext6 \
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# cmake \
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# rsync \
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# libgl1 \
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g++ \
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libsndfile1 \
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timidity \
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&& rm -rf /var/lib/apt/lists/*
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# && git lfs install
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# RUN apt-get update && \
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# apt-get install -y curl && \
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# curl -fsSL https://deb.nodesource.com/setup_20.x | bash - && \
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# apt-get install -y nodejs && \
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# rm -rf /var/lib/apt/lists/* && \
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# apt-get clean
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# Install main requirements with no build isolation to fix numpy dependency issues
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RUN pip install --no-cache-dir numpy==1.24.4 && pip install --no-cache-dir --no-build-isolation -r requirements.txt
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EXPOSE 7860
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CMD ["python", "app.py"]
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README.md
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@@ -3,8 +3,8 @@ title: Harmonic Analysis
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emoji: 👁
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colorFrom: gray
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colorTo: blue
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-
sdk:
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sdk_version: 5.49.1
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app_file: app.py
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pinned: false
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license: cc-by-nc-nd-4.0
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emoji: 👁
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colorFrom: gray
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colorTo: blue
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sdk: docker
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# sdk_version: 5.49.1
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app_file: app.py
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pinned: false
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license: cc-by-nc-nd-4.0
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app.py
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@@ -112,7 +112,7 @@ def analyze_music_file(audio_file):
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)
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# Create Gradio interface
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with gr.Blocks(title="Harmonic Analysis Tool"
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gr.Markdown("# 🎵 Harmonic Analysis Tool")
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gr.Markdown("Analyze chord progressions for originality and find similar songs in the database.")
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server_name="0.0.0.0",
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server_port=7860,
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share=False,
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show_error=True
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)
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)
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# Create Gradio interface
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with gr.Blocks(title="Harmonic Analysis Tool") as app:
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gr.Markdown("# 🎵 Harmonic Analysis Tool")
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gr.Markdown("Analyze chord progressions for originality and find similar songs in the database.")
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server_name="0.0.0.0",
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server_port=7860,
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share=False,
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show_error=True,
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theme=gr.themes.Soft()
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)
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requirements.txt
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faiss-cpu
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gradio==5.49.1
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joblib
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scikit-learn
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chord-extractor
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datasets
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