import gradio as gr import pandas as pd # Function to load the menu data from Excel def load_menu(): menu_file = "menu.xlsx" # Ensure this file exists in the same directory try: return pd.read_excel(menu_file) except Exception as e: raise ValueError(f"Error loading menu file: {e}") # Function to filter menu items based on preference def filter_menu(preference): # Load menu data menu_data = load_menu() # Define filter conditions if preference == "Halal/Non-Veg": filtered_data = menu_data[menu_data["Ingredients"].str.contains("Chicken|Mutton|Fish|Prawns|Goat", case=False, na=False)] elif preference == "Vegetarian": filtered_data = menu_data[~menu_data["Ingredients"].str.contains("Chicken|Mutton|Fish|Prawns|Goat", case=False, na=False)] elif preference == "Guilt-Free": filtered_data = menu_data[menu_data["Description"].str.contains(r"Fat: ([0-9]|10)g", case=False, na=False)] else: # Default to "All" 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(): with gr.Blocks(title="Dynamic Menu with Filters") as demo: gr.Markdown("## Dynamic Menu with Preferences") # Radio button for selecting preference selected_preference = gr.Radio( choices=["All", "Vegetarian", "Halal/Non-Veg", "Guilt-Free"], value="All", label="Choose a Preference", ) # Output area for menu items menu_output = gr.HTML(value=filter_menu("All")) # Define interactivity selected_preference.change(filter_menu, inputs=[selected_preference], outputs=[menu_output]) # Layout gr.Row([selected_preference]) gr.Row(menu_output) return demo # Run the app if __name__ == "__main__": demo = app() demo.launch()