Update Dockerfile

Dockerfile

@@ -1,38 +1,38 @@
-FROM python:3.11-slim
-
-WORKDIR /app
-
-# Install system dependencies
-RUN apt-get update && apt-get install -y \
-    build-essential \
-    curl \
-    && rm -rf /var/lib/apt/lists/*
-
-# Copy requirements first for better caching
-COPY requirements.txt .
-RUN pip install --no-cache-dir -r requirements.txt
-
-# Pre-download Hugging Face models to cache them
-RUN python -c "from sentence_transformers import SentenceTransformer; SentenceTransformer('all-MiniLM-L6-v2')"
-RUN python -c "from transformers import AutoTokenizer, AutoModelForCausalLM; AutoTokenizer.from_pretrained('microsoft/Phi-3-mini-4k-instruct', trust_remote_code=True); print('Model cached')" || echo "Model download skipped (will download on first use)"
-
-# Copy application code
-COPY . .
-
-# Create necessary directories
-RUN mkdir -p data/lab_markers data/nutrition data/conditions templates static
-
-# Build vector database at build time (if data exists)
-RUN python build_vector_db.py || echo "Vector DB will be built on first data upload"
-
-# Expose port
-EXPOSE 7860
-
-# Set environment variables
-ENV FLASK_APP=app.py
-ENV PYTHONUNBUFFERED=1
-ENV TRANSFORMERS_CACHE=/app/.cache
-ENV HF_HOME=/app/.cache
-
-# Run with gunicorn
+FROM python:3.11-slim
+
+WORKDIR /app
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    curl \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements first for better caching
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# # Pre-download Hugging Face models to cache them
+# RUN python -c "from sentence_transformers import SentenceTransformer; SentenceTransformer('all-MiniLM-L6-v2')"
+# RUN python -c "from transformers import AutoTokenizer, AutoModelForCausalLM; AutoTokenizer.from_pretrained('microsoft/Phi-3-mini-4k-instruct', trust_remote_code=True); print('Model cached')" || echo "Model download skipped (will download on first use)"
+
+# Copy application code
+COPY . .
+
+# Create necessary directories
+RUN mkdir -p data/lab_markers data/nutrition data/conditions templates static
+
+# Build vector database at build time (if data exists)
+RUN python build_vector_db.py || echo "Vector DB will be built on first data upload"
+
+# Expose port
+EXPOSE 7860
+
+# Set environment variables
+ENV FLASK_APP=app.py
+ENV PYTHONUNBUFFERED=1
+ENV TRANSFORMERS_CACHE=/app/.cache
+ENV HF_HOME=/app/.cache
+
+# Run with gunicorn
 CMD ["gunicorn", "--bind", "0.0.0.0:7860", "--timeout", "300", "--workers", "1", "--threads", "2", "app:app"]