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import gradio as gr |
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from restaurant_order_management import process_order |
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from restaurant_table_reservation import reserve_table |
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from restaurant_menu_system import recommend_dishes |
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from restaurant_feedback_analysis import analyze_feedback |
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from restaurant_chatbot import chat |
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with gr.Blocks() as restaurant_app: |
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with gr.Tab("Order Management"): |
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table_number = gr.Number(label="Table Number") |
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order_items = gr.Textbox(label="Order Items (e.g., Pizza, Pasta)") |
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order_button = gr.Button("Place Order") |
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order_output = gr.Textbox(label="Order Status") |
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order_button.click(fn=process_order, inputs=[table_number, order_items], outputs=order_output) |
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with gr.Tab("Table Reservations"): |
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date = gr.Date(label="Select Date") |
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time = gr.Time(label="Select Time") |
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guests = gr.Number(label="Number of Guests") |
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reserve_button = gr.Button("Reserve Table") |
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reserve_output = gr.Textbox(label="Reservation Status") |
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reserve_button.click(fn=reserve_table, inputs=[date, time, guests], outputs=reserve_output) |
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with gr.Tab("Menu Recommendations"): |
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preferences = gr.Textbox(label="Enter your dietary preferences") |
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recommend_button = gr.Button("Get Recommendations") |
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recommendations_output = gr.Textbox(label="Recommended Dishes") |
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recommend_button.click(fn=recommend_dishes, inputs=preferences, outputs=recommendations_output) |
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with gr.Tab("Feedback Analysis"): |
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feedback = gr.Textbox(label="Customer Feedback") |
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analyze_button = gr.Button("Analyze Feedback") |
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sentiment_output = gr.Textbox(label="Sentiment Analysis") |
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analyze_button.click(fn=analyze_feedback, inputs=feedback, outputs=sentiment_output) |
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with gr.Tab("Chatbot"): |
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user_input = gr.Textbox(label="Ask me anything") |
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chat_button = gr.Button("Send") |
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chatbot_output = gr.Textbox(label="Chatbot Response") |
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chat_button.click(fn=chat, inputs=user_input, outputs=chatbot_output) |
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restaurant_app.launch() |
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