Update Dockerfile

Dockerfile

@@ -1,34 +1,34 @@
-# Use lightweight Python base image
+# Use slim Python image
 FROM python:3.9-slim
 
 # Set working directory
 WORKDIR /app
 
-# Install dependencies
+# Install system dependencies
 RUN apt-get update && apt-get install -y \
     build-essential \
     git \
     curl \
     && rm -rf /var/lib/apt/lists/*
 
-# Copy code
+# Copy app files
 COPY requirements.txt ./
 COPY src/ ./src/
 
 # Install Python dependencies
 RUN pip install --upgrade pip && pip install -r requirements.txt
 
-# Set environment variables
+# Environment for Hugging Face model caching
 ENV HF_HOME=/app/.cache/huggingface
 ENV TRANSFORMERS_CACHE=/app/.cache/huggingface/transformers
-ENV HF_TOKEN=hf_your_token_here  # ⛔ REPLACE below in build step instead, safer
 
-# Setup authentication to Hugging Face gated models
-RUN pip install huggingface_hub && \
-    echo "machine huggingface.co\n  login $HF_TOKEN" > /root/.netrc && \
-    chmod 600 /root/.netrc
+# Accept token from build arguments (DON'T hardcode in Dockerfile)
+ARG HF_TOKEN
 
-# Preload Mistral model and sentiment model
+# Setup Hugging Face authentication using token
+RUN echo "machine huggingface.co\n  login ${HF_TOKEN}" > /root/.netrc && chmod 600 /root/.netrc
+
+# Pre-download gated Mistral and sentiment models
 RUN python3 -c "from transformers import pipeline; \
     pipeline('summarization', model='mistralai/Mistral-7B-Instruct-v0.1', \
              tokenizer='mistralai/Mistral-7B-Instruct-v0.1', \
@@ -36,11 +36,9 @@ RUN python3 -c "from transformers import pipeline; \
     python3 -c "from transformers import pipeline; \
     pipeline('sentiment-analysis', model='distilbert-base-uncased-finetuned-sst-2-english')"
 
-# Expose Streamlit default port
+# Streamlit port and healthcheck
 EXPOSE 8501
-
-# Health check
 HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health || exit 1
 
-# Launch Streamlit app
+# Run the Streamlit app
 ENTRYPOINT ["streamlit", "run", "src/streamlit_app.py", "--server.port=8501", "--server.address=0.0.0.0"]