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Dockerfile

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+# Use the official Python image from the Docker Hub
+FROM python:3.9-slim
+
+# Set environment variables to avoid Python writing .pyc files and buffering output
+ENV PYTHONDONTWRITEBYTECODE=1
+ENV PYTHONUNBUFFERED=1
+
+# Set the working directory in the container
+WORKDIR /app
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    gcc \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy the requirements file into the container
+COPY requirements.txt .
+
+# Install Python dependencies
+RUN pip install --no-cache-dir --upgrade pip && \
+    pip install --no-cache-dir -r requirements.txt
+
+# Copy the rest of the application code into the container
+COPY . .
+
+# Expose the port the app runs on
+EXPOSE 8080
+
+# Define the command to run the application
+CMD ["python", "app.py"]

app.py

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+from flask import Flask, render_template, request
+import pandas as pd
+
+app = Flask(__name__)
+
+# Load data from Excel
+df = pd.read_excel('data/Songs_by_Region_with_Location.xlsx')
+
+@app.route('/')
+def index():
+    # Convert data to a format suitable for the frontend
+    data = df.to_dict(orient='records')
+    return render_template('index.html', data=data)
+
+@app.route('/search', methods=['GET'])
+def search_song():
+    song = request.args.get('song', '')
+    # Redirect to YouTube search results for the song
+    youtube_url = f"https://www.youtube.com/results?search_query={song}"
+    return f"<script>window.open('{youtube_url}', '_blank');</script>"
+
+if __name__ == '__main__':
+    app.run(debug=True, port=8080)