Commit ·
efcf9b4
1
Parent(s): dd64fe1
fix: Pre-download summarization model during Docker build (runtime has no DNS)
Browse files- Dockerfile +16 -1
Dockerfile
CHANGED
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@@ -8,11 +8,26 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
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&& rm -rf /var/lib/apt/lists/*
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# Copy requirements and install Python dependencies
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# Install CPU-only PyTorch first (saves ~1.5GB vs full torch)
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COPY requirements.txt .
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RUN pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cpu && \
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pip install --no-cache-dir -r requirements.txt
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# Copy application code
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COPY src/ ./src/
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COPY .env* ./
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&& rm -rf /var/lib/apt/lists/*
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# Copy requirements and install Python dependencies
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# Install CPU-only PyTorch first (saves ~1.5GB vs full torch with CUDA)
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COPY requirements.txt .
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RUN pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cpu && \
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pip install --no-cache-dir -r requirements.txt
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# Pre-download the summarization model during build (network is available here)
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# At runtime, the container has NO outbound DNS, so models must be cached
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RUN python -c "\
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from transformers import MBartForConditionalGeneration, AutoTokenizer, AutoConfig; \
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import torch; \
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repo = 'bayan10/summarization-model'; \
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print('Downloading tokenizer...'); \
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AutoTokenizer.from_pretrained(repo); \
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print('Downloading config...'); \
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AutoConfig.from_pretrained(repo); \
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print('Downloading model (float16)...'); \
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MBartForConditionalGeneration.from_pretrained(repo, torch_dtype=torch.float16); \
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print('Model cached successfully!'); \
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"
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# Copy application code
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COPY src/ ./src/
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COPY .env* ./
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