Update Dockerfile

Dockerfile

@@ -1,5 +1,5 @@
-# Use official Python 3.12 image
-FROM python:3.12-slim
+# Use official Python 3.12 image with slim variant
+FROM python:3.12-slim as builder
 
 # Set working directory
 WORKDIR /app
@@ -11,17 +11,14 @@ RUN apt-get update && apt-get install -y \
     git \
     && rm -rf /var/lib/apt/lists/*
 
-# Create directories with proper permissions
-RUN mkdir -p /tmp/uploads /tmp/huggingface \
-    && chmod -R 777 /tmp/uploads /tmp/huggingface
+# Create model cache directory
+RUN mkdir -p /tmp/huggingface && chmod -R 777 /tmp/huggingface
 
-# Set environment variables
-ENV PYTHONUNBUFFERED=1
-ENV UPLOAD_FOLDER=/tmp/uploads
+# Set environment variables for Hugging Face cache
 ENV TRANSFORMERS_CACHE=/tmp/huggingface
 ENV HF_HOME=/tmp/huggingface
 
-# Copy requirements file first to leverage Docker cache
+# Copy only requirements first to leverage Docker cache
 COPY requirements.txt .
 
 # Install Python dependencies
@@ -30,13 +27,36 @@ RUN pip install --no-cache-dir -r requirements.txt
 # Install spaCy model
 RUN python -m spacy download en_core_web_sm
 
-# Pre-download Hugging Face models and tokenizers
+# Pre-download models and tokenizers (both deberta and distilbert)
 RUN python -c "\
-from transformers import AutoTokenizer; \
-AutoTokenizer.from_pretrained('deepset/deberta-v3-base-squad2', cache_dir='/tmp/huggingface'); \
-AutoTokenizer.from_pretrained('distilbert-base-uncased', cache_dir='/tmp/huggingface')"
+from transformers import AutoTokenizer, AutoModel; \
+print('Downloading deepset/deberta-v3-base-squad2...'); \
+AutoTokenizer.from_pretrained('deepset/deberta-v3-base-squad2'); \
+AutoModel.from_pretrained('deepset/deberta-v3-base-squad2'); \
+print('Downloading distilbert-base-uncased...'); \
+AutoTokenizer.from_pretrained('distilbert-base-uncased'); \
+AutoModel.from_pretrained('distilbert-base-uncased')"
+
+# --- Runtime stage ---
+FROM python:3.12-slim
+
+WORKDIR /app
+
+# Copy only necessary files from builder
+COPY --from=builder /tmp/huggingface /tmp/huggingface
+COPY --from=builder /usr/local/lib/python3.12/site-packages /usr/local/lib/python3.12/site-packages
+COPY --from=builder /usr/local/bin /usr/local/bin
 
-# Create Streamlit config
+# Create required directories
+RUN mkdir -p /tmp/uploads && chmod -R 777 /tmp/uploads /tmp/huggingface
+
+# Set environment variables
+ENV PYTHONUNBUFFERED=1
+ENV UPLOAD_FOLDER=/tmp/uploads
+ENV TRANSFORMERS_CACHE=/tmp/huggingface
+ENV HF_HOME=/tmp/huggingface
+
+# Streamlit config
 RUN mkdir -p .streamlit && \
     echo '[server]\n\
 enableCORS=false\n\
@@ -48,5 +68,9 @@ COPY . .
 # Expose port
 EXPOSE 7860
 
+# Health check
+HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \
+    CMD curl -f http://localhost:7860/_stcore/health || exit 1
+
 # Run the application
 CMD ["streamlit", "run", "app.py", "--server.port=7860", "--server.address=0.0.0.0"]