Update Dockerfile

Dockerfile

@@ -1,47 +1,44 @@
-# 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 \
-    git \
-    poppler-utils \
-    && rm -rf /var/lib/apt/lists/*
-
-# Set working directory
-WORKDIR /app
-
-# Set environment variables
-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
-
-# 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
-
-# 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')"
-
-# Download assets from Hugging Face Hub
-RUN python download_assets.py
-
-# Expose the port Chainlit runs on
-EXPOSE 7860
-
-# Run the Chainlit application
+# 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 \
+    git \
+    poppler-utils \
+    && rm -rf /var/lib/apt/lists/*
+
+# Set working directory
+WORKDIR /app
+
+# Set environment variables
+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
+
+# 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
+
+# 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"]