Update Dockerfile

Dockerfile

@@ -1,37 +1,31 @@
-# Use official Python 3.13 slim image
-FROM python:3.13-slim
+FROM python:3.13.5-slim
 
-# Set working directory
 WORKDIR /app
 
-# Set environment variables for cache and Streamlit
-ENV TRANSFORMERS_CACHE=/app/.cache
-ENV HF_HOME=/app/.cache
-ENV XDG_CACHE_HOME=/app/.cache
-ENV STREAMLIT_HOME=/app/.streamlit
-ENV PYTHONUNBUFFERED=1
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    curl \
+    git \
+    && rm -rf /var/lib/apt/lists/*
 
-# Create writable directories for cache and vector DBs
-RUN mkdir -p /app/.cache/huggingface \
-    && mkdir -p /app/.streamlit \
-    && mkdir -p /app/vectordb
+# create a writable cache directory and make sure it's writable by the container process
+RUN mkdir -p /app/.cache && chmod 0777 /app/.cache
 
-# Copy only requirements first (for caching in Docker build)
-COPY requirements.txt .
+# Force all relevant libraries to use /app/.cache (writable inside the container)
+ENV HF_HOME=/app/.cache \
+    TRANSFORMERS_CACHE=/app/.cache \
+    SENTENCE_TRANSFORMERS_HOME=/app/.cache \
+    LLAMA_INDEX_CACHE_DIR=/app/.cache \
+    XDG_CACHE_HOME=/app/.cache
 
-# Upgrade pip and install dependencies
-RUN pip install --no-cache-dir --upgrade pip \
-    && pip install --no-cache-dir -r requirements.txt
-
-# Copy the rest of your app
+# Copy files and install dependencies
+COPY requirements.txt ./
 COPY . .
 
-# Expose the default Streamlit port
+RUN pip3 install --no-cache-dir -r requirements.txt
+
 EXPOSE 8501
 
-# Set Streamlit to run in headless mode
-ENV STREAMLIT_SERVER_HEADLESS=true
-ENV STREAMLIT_SERVER_ENABLE_CORS=false
+HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health || exit 1
 
-# Run Streamlit
-CMD ["streamlit", "run", "app.py"]
+ENTRYPOINT ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"]