Update Dockerfile

Dockerfile

@@ -1,7 +1,5 @@
-# Use Python 3.10 slim image as base
 FROM python:3.10-slim
 
-# Install system dependencies
 RUN apt-get update && \
     apt-get install -y \
       build-essential \
@@ -9,43 +7,34 @@ RUN apt-get update && \
       poppler-utils \
     && rm -rf /var/lib/apt/lists/*
 
-# Set working directory
 WORKDIR /app
 
-# Set environment variables
+# prevent Chainlit mkdir errors by pre-creating its default .files dir
+RUN mkdir -p /app/.files && chmod a+rwx /app/.files
+
 ENV PYTHONUNBUFFERED=1
 ENV TRANSFORMERS_CACHE=/app/model_cache
 ENV HF_HOME=/app/model_cache
 ENV TORCH_HOME=/app/model_cache
 ENV CHAINLIT_HOST=0.0.0.0
 ENV CHAINLIT_PORT=7860
-# override Chainlit files directory to one we’ll own
-ENV CHAINLIT_FILES_DIRECTORY=/tmp/.files
 
-# Install Python dependencies
 COPY requirements.txt .
 RUN pip install --no-cache-dir -r requirements.txt
 
-# Create necessary directories (including the Chainlit files dir)
 RUN mkdir -p \
       /app/model_cache \
       /app/vectorstore/db_faiss \
-      /app/data \
-      /tmp/.files \
-    && chmod a+rwx /tmp/.files
+      /app/data
 
-# Copy application files
 COPY model.py ingest.py chainlit.md download_assets.py ./
 
-# Download models and cache them
 RUN python -c "from transformers import AutoTokenizer, AutoModelForSeq2SeqLM; \
       AutoTokenizer.from_pretrained('google/flan-t5-base'); \
       AutoModelForSeq2SeqLM.from_pretrained('google/flan-t5-base'); \
       from sentence_transformers import SentenceTransformer; \
       SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')"
 
-# Expose the port Chainlit runs on
 EXPOSE 7860
 
-# Run the Chainlit application
 CMD ["chainlit", "run", "model.py", "--host", "0.0.0.0", "--port", "7860"]