Update Dockerfile

Dockerfile

@@ -1,46 +1,22 @@
 FROM python:3.9-slim
 
-# Set working directory
 WORKDIR /app
+ENV HOME=/app
 
-# Avoid interactive prompts
-ENV DEBIAN_FRONTEND=noninteractive
-ENV STREAMLIT_HOME=/app/.streamlit
-ENV TRANSFORMERS_CACHE=/app/.cache/huggingface
-
-# Install system dependencies
 RUN apt-get update && apt-get install -y \
     build-essential \
-    git \
     curl \
+    git \
     && rm -rf /var/lib/apt/lists/*
-
-# Copy requirements and install Python dependencies
+    
 COPY requirements.txt .
-RUN pip install --upgrade pip && pip install -r requirements.txt
-
-# Create directories for Streamlit and HuggingFace to avoid permission errors
-RUN mkdir -p $STREAMLIT_HOME && mkdir -p $TRANSFORMERS_CACHE
-RUN echo "\
-[server]\n\
-headless = true\n\
-enableCORS = false\n\
-port = 8501\n\
-" > $STREAMLIT_HOME/config.toml
 
-# Download Hugging Face model (pre-cache)
-RUN python -c "from transformers import AutoModel, AutoTokenizer; \
-               AutoModel.from_pretrained('indobenchmark/indobert-base-p1'); \
-               AutoTokenizer.from_pretrained('indobenchmark/indobert-base-p1')"
+RUN pip3 install -r requirements.txt
 
-# Copy project files
 COPY . .
 
-# Expose Streamlit port
 EXPOSE 8501
 
-# Healthcheck (optional)
-HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health || exit 1
+HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health
 
-# Run Streamlit
-ENTRYPOINT ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"]
+ENTRYPOINT ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"]