Update Dockerfile

Dockerfile

@@ -1,38 +1,34 @@
-# Use the official lightweight Python image.
-# "Slim" keeps the file size down (better for cloud costs).
+# Use python:3.9-slim for speed
 FROM python:3.9-slim
 
-# Set the working directory inside the container
+# Set working directory
 WORKDIR /app
 
-# Prevent Python from writing pyc files to disc (useless in containers)
+# Set environment variables to keep Python logs clean
 ENV PYTHONDONTWRITEBYTECODE=1
-# Prevent Python from buffering stdout/stderr (so you see logs immediately)
 ENV PYTHONUNBUFFERED=1
 
-# Install system dependencies (sometimes needed for Plotly/Pandas)
+# Install ONLY the essentials (curl for healthcheck, build-essential for compiling)
+# We removed 'software-properties-common' and 'git' to fix the build error.
 RUN apt-get update && apt-get install -y \
     build-essential \
     curl \
-    software-properties-common \
-    git \
     && rm -rf /var/lib/apt/lists/*
 
-# Copy the requirements file first (for better caching)
+# Copy requirements first to leverage Docker caching
 COPY requirements.txt .
 
 # Install Python dependencies
 RUN pip3 install --no-cache-dir -r requirements.txt
 
-# Copy the rest of the application code
+# Copy the rest of the application
 COPY . .
 
-# Expose the port Streamlit runs on
+# Expose Streamlit port
 EXPOSE 8501
 
-# The Healthcheck (Critical for "High Availability" systems)
+# Healthcheck to keep the app alive
 HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health || exit 1
 
-# Command to run the app
-# address=0.0.0.0 is MANDATORY for Docker
+# Run the app
 ENTRYPOINT ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"]