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Commit ·
e50a10b
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Parent(s): 328fbb6
Fix: Remove duplicate torch, remove healthcheck, add logging
Browse files- Dockerfile +9 -12
- requirements.txt +1 -1
Dockerfile
CHANGED
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@@ -19,16 +19,18 @@ ENV HOME=/home/user \
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# Set working directory for user
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WORKDIR $HOME/app
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# Install torch CPU first (smaller download)
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RUN pip install --no-cache-dir --upgrade pip && \
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pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cpu
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# Copy requirements and install Python dependencies
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COPY --chown=user requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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# Pre-download the lightweight embedding model to avoid timeout at startup
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RUN python -c "from sentence_transformers import SentenceTransformer; SentenceTransformer('all-MiniLM-L6-v2')"
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# Copy application files
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COPY --chown=user . .
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@@ -39,15 +41,10 @@ RUN mkdir -p /tmp/chroma_db /tmp/data_cache
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# Set environment variables
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ENV PYTHONUNBUFFERED=1
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ENV SPACE_ID=1
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ENV GRADIO_SERVER_NAME=0.0.0.0
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ENV GRADIO_SERVER_PORT=7860
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# Expose port for Streamlit (HuggingFace Spaces uses 7860)
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EXPOSE 7860
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#
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# Run Streamlit
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CMD ["streamlit", "run", "streamlit_app.py", "--server.port=7860", "--server.address=0.0.0.0", "--server.enableCORS=false", "--server.enableXsrfProtection=false"]
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# Set working directory for user
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WORKDIR $HOME/app
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# Install torch CPU first (smaller download ~200MB vs 2GB)
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RUN pip install --no-cache-dir --upgrade pip && \
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pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cpu && \
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echo "Torch installed successfully"
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# Copy requirements and install Python dependencies
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COPY --chown=user requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt && \
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echo "All requirements installed successfully"
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# Pre-download the lightweight embedding model to avoid timeout at startup
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RUN python -c "from sentence_transformers import SentenceTransformer; print('Downloading model...'); SentenceTransformer('all-MiniLM-L6-v2'); print('Model downloaded!')"
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# Copy application files
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COPY --chown=user . .
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# Set environment variables
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ENV PYTHONUNBUFFERED=1
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ENV SPACE_ID=1
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# Expose port for Streamlit (HuggingFace Spaces uses 7860)
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EXPOSE 7860
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# No healthcheck - let HF Spaces handle it
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# Run Streamlit with logging
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CMD ["streamlit", "run", "streamlit_app.py", "--server.port=7860", "--server.address=0.0.0.0", "--server.enableCORS=false", "--server.enableXsrfProtection=false", "--logger.level=info"]
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requirements.txt
CHANGED
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@@ -9,7 +9,7 @@ openai>=1.12.0
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# Embeddings and Vector Store
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sentence-transformers>=2.2.0
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transformers>=4.35.0
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torch
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chromadb>=0.4.0
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qdrant-client>=1.7.0
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# Embeddings and Vector Store
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sentence-transformers>=2.2.0
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transformers>=4.35.0
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# torch installed separately in Dockerfile with CPU-only version
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chromadb>=0.4.0
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qdrant-client>=1.7.0
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