Update Dockerfile

Dockerfile

@@ -4,9 +4,9 @@ FROM python:3.10-slim
 # Install system dependencies
 RUN apt-get update && \
     apt-get install -y \
-    build-essential \
-    git \
-    poppler-utils \
+      build-essential \
+      git \
+      poppler-utils \
     && rm -rf /var/lib/apt/lists/*
 
 # Set working directory
@@ -19,26 +19,33 @@ 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
-RUN mkdir -p /app/model_cache /app/vectorstore/db_faiss /app/data
+# 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
 
 # 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')"
+      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"] 
+CMD ["chainlit", "run", "model.py", "--host", "0.0.0.0", "--port", "7860"]