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Update Dockerfile
Browse files- Dockerfile +7 -4
Dockerfile
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@@ -10,7 +10,7 @@ ENV PYTHONUNBUFFERED=1 \
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# Set working directory
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WORKDIR /app
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# Copy required files
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COPY requirements.txt .
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COPY main.py .
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@@ -19,16 +19,19 @@ RUN python -m venv /app/venv && \
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/app/venv/bin/pip install --no-cache-dir --upgrade pip && \
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/app/venv/bin/pip install --no-cache-dir -r requirements.txt
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# Ensure the model cache directory exists
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RUN mkdir -p $HF_HOME
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# Pre-download models (handle errors gracefully)
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RUN /app/venv/bin/python -c "from transformers import pipeline; \
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pipeline('sentiment-analysis', model='tabularisai/multilingual-sentiment-analysis')" || echo
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RUN /app/venv/bin/python -c "from transformers import pipeline; \
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pipeline('sentiment-analysis', model='siebert/sentiment-roberta-large-english')" || echo
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# Expose port for FastAPI
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EXPOSE 7860
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# Set working directory
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WORKDIR /app
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# Copy the required files
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COPY requirements.txt .
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COPY main.py .
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/app/venv/bin/pip install --no-cache-dir --upgrade pip && \
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/app/venv/bin/pip install --no-cache-dir -r requirements.txt
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# Ensure the model cache directory exists
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RUN mkdir -p $HF_HOME
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# Add Hugging Face token as an environment variable in the container (this will be injected by Hugging Face Spaces' secrets management)
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ARG HF_TOKEN
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ENV HF_TOKEN=${HF_TOKEN}
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# Pre-download models (handle errors gracefully)
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RUN /app/venv/bin/python -c "from transformers import pipeline; \
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pipeline('sentiment-analysis', model='tabularisai/multilingual-sentiment-analysis', use_auth_token='$HF_TOKEN')" || echo 'Failed to download model 1'
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RUN /app/venv/bin/python -c "from transformers import pipeline; \
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pipeline('sentiment-analysis', model='siebert/sentiment-roberta-large-english', use_auth_token='$HF_TOKEN')" || echo 'Failed to download model 2'
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# Expose port for FastAPI
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EXPOSE 7860
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