import pandas as pd import gradio as gr # Function to load menu data def load_menu(file_path="menu.xlsx"): try: menu_data = pd.read_excel(file_path) return menu_data except FileNotFoundError: raise FileNotFoundError("The menu.xlsx file was not found. Ensure it is in the same directory as app.py.") # Function to filter the menu based on preference def filter_menu(preference): # Load menu data menu_data = load_menu() # Check for the required columns required_columns = ["Category", "Dish Name", "Price", "Image URL", "Description"] for col in required_columns: if col not in menu_data.columns: raise ValueError(f"Missing column in Excel file: {col}") # Filter data based on preference if preference != "All": filtered_data = menu_data[menu_data["Category"] == preference] else: filtered_data = menu_data # Generate HTML for the menu html_content = "" for _, item in filtered_data.iterrows(): html_content += f"""

{item['Dish Name']}

${item['Price']}

{item['Description']}

{item['Dish Name']}
""" return html_content # Gradio app definition def app(): # Menu preferences preferences = ["All", "Vegan", "Halal", "Guilt-Free"] with gr.Blocks() as demo: gr.Markdown("# Dynamic Menu with Preferences") # Radio buttons for preferences selected_preference = gr.Radio(preferences, label="Choose a Preference") # Display the filtered menu menu_output = gr.HTML() selected_preference.change(filter_menu, inputs=[selected_preference], outputs=[menu_output]) # Initial menu load (all items) menu_output.value = filter_menu("All") return demo # Run the app if __name__ == "__main__": demo = app() demo.launch()