Update Dockerfile

Dockerfile

@@ -1,42 +1,19 @@
+# Use an official lightweight Python image
 FROM python:3.9-slim
 
-WORKDIR /code
+# Set the working directory
+WORKDIR /app
 
-# Install system dependencies
-RUN apt-get update && \
-    apt-get install -y --no-install-recommends \
-    build-essential \
-    curl \
-    libhdf5-dev \
-    && rm -rf /var/lib/apt/lists/*
+# Copy only necessary files
+COPY requirements.txt ./
+COPY app.py ./
+COPY final_price_data.csv ./
 
+# Install dependencies
+RUN pip install --no-cache-dir -r requirements.txt
 
-# Copy requirements first to leverage Docker cache
-COPY requirements.txt .
-
-# Clean pip cache and install requirements with specific versions
-RUN pip cache purge && \
-    pip install --no-cache-dir -r requirements.txt
-
-# Copy project structure
-COPY app.py .
-COPY templates/ ./templates/
-
-
-# Set environment variables
-ENV PORT=7860
-ENV HOST=0.0.0.0
-ENV FLASK_APP=app.py
-ENV FLASK_ENV=production
-ENV FLASK_DEBUG=0
-
-
-
-# Create cache directory for tensorflow-hub
-RUN mkdir -p /root/.cache/tensorflow-hub
-
-# Expose the port
+# Expose the port your app runs on
 EXPOSE 7860
 
-# Run Flask application with proper host and port
-CMD ["python", "-c", "from app import app; app.run(host='0.0.0.0', port=7860, debug=False)"]
+# Set the command to run your application
+CMD ["python", "app.py"]