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@@ -1,14 +1,9 @@
-# SuperKart Sales Forecasting API - Docker Configuration
-# =====================================================
+# SuperKart Sales Forecasting Frontend - Docker Configuration
+FROM python:3.10-slim
 
-# Use Python 3.9 slim image for optimal size and compatibility
-FROM python:3.9-slim
-
-# Set environment variables
+# Set environment variables for Python
 ENV PYTHONDONTWRITEBYTECODE=1
 ENV PYTHONUNBUFFERED=1
-ENV FLASK_APP=app.py
-ENV FLASK_ENV=production
 
 # Set working directory
 WORKDIR /app
@@ -16,38 +11,36 @@ WORKDIR /app
 # Install system dependencies
 RUN apt-get update \
     && apt-get install -y --no-install-recommends \
-        gcc \
-        g++ \
         curl \
+        gcc \
     && rm -rf /var/lib/apt/lists/*
 
-# Copy requirements first for better Docker layer caching
+# Copy requirements file first for better Docker layer caching
 COPY requirements.txt .
 
 # Install Python dependencies
-RUN pip install --no-cache-dir -r requirements.txt
+RUN pip install --no-cache-dir --upgrade pip \
+    && pip install --no-cache-dir -r requirements.txt
 
 # Copy application files
 COPY . .
 
 # Create non-root user for security
-RUN adduser --disabled-password --gecos '' appuser && chown -R appuser:appuser /app
-USER appuser
-
-# Expose port
-EXPOSE 8080
+RUN adduser --disabled-password --gecos '' streamlituser \
+    && chown -R streamlituser:streamlituser /app
+USER streamlituser
 
-# Health check
-HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \
-    CMD curl -f http://localhost:8080/health || exit 1
+# Expose Streamlit port
+EXPOSE 8501
 
-# Production command using Gunicorn
-CMD ["gunicorn", "--bind", "0.0.0.0:8080", "--workers", "2", "--timeout", "120", "--keep-alive", "2", "--max-requests", "1000", "--max-requests-jitter", "100", "app:app"]
+# Health check for Streamlit
+HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
+    CMD curl -f http://localhost:8501/_stcore/health || exit 1
 
-# Development command (commented out)
-# CMD ["python", "app.py"]
+# Run Streamlit app
+CMD ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0", "--server.enableXsrfProtection=false", "--server.enableCORS=false"]
 
 # Container metadata
 LABEL maintainer="SuperKart ML Team"
 LABEL version="1.0"
-LABEL description="SuperKart Sales Forecasting API"
+LABEL description="SuperKart Sales Forecasting Streamlit Frontend"