Spaces:
Sleeping
Sleeping
app.py
Browse files- Dockerfile +31 -15
- requirements.txt +3 -2
Dockerfile
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FROM python:3.9-slim
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# Set the working directory in the container
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WORKDIR /code
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#
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#
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# Copy
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COPY . .
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#
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EXPOSE 7860
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#
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# Use the --server-name 0.0.0.0 flag to make the app accessible from outside the container
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# Use the --share flag to create a public link if needed (optional)
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CMD ["python3", "app.py"]
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FROM python:3.10-slim
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WORKDIR /code
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# Install system dependencies required for building some Python packages
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RUN apt-get update && apt-get install -y \
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gcc \
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g++ \
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git \
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wget \
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ffmpeg \
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&& rm -rf /var/lib/apt/lists/*
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# Set environment variables for Hugging Face cache and tokenizers
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ENV HF_HOME=/code/cache
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ENV TRANSFORMERS_CACHE=/code/cache
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ENV TOKENIZERS_PARALLELISM=false
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# Copy requirements first for better Docker layer caching
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COPY requirements.txt /code/requirements.txt
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# Upgrade pip and install Python dependencies
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RUN pip install --no-cache-dir --upgrade pip
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RUN pip install --no-cache-dir -r /code/requirements.txt
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# Pre-download the models at build time to avoid runtime delays.
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# This ensures the application starts up quickly in the Space.
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RUN python -c "from transformers import pipeline; import whisper; pipeline('summarization', model='facebook/bart-large-cnn'); whisper.load_model('base')"
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# Copy the rest of the application code into the container
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COPY . /code/
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# Create the cache directory (the ENV variables point here)
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RUN mkdir -p /code/cache
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# Expose the port Gradio runs on
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EXPOSE 7860
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# Command to run the application
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CMD ["python3", "app.py"]
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requirements.txt
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gradio==4.44.
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transformers==4.35.2
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torch==2.1.1
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openai-whisper==20231117
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datasets==2.14.6
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accelerate==0.24.1
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sentencepiece==0.1.99
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protobuf==4.25.0
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gradio==4.44.0
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transformers==4.35.2
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torch==2.1.1
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openai-whisper==20231117
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datasets==2.14.6
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accelerate==0.24.1
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sentencepiece==0.1.99
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protobuf==4.25.0
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numpy<2.0
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