Update app.py

app.py

@@ -3,45 +3,6 @@ import speech_recognition as sr
 from gtts import gTTS
 import os
 
-# Menu data
-menu_data = [
-    {"name": "Samosa", "category": "VEGAN", "image": "https://huggingface.co/spaces/Rammohan0504/First-Project/resolve/main/pictures/Potato-Samosa.jpg", "description": "A delicious potato samosa with plant-based potato, lettuce.", "price": 8.99},
-    {"name": "Chicken Biryani", "category": "HALAL", "image": "https://huggingface.co/spaces/Rammohan0504/First-Project/resolve/main/pictures/Chicken-Biryani.jpg", "description": "Spicy chicken biryani with aromatic basmati rice and tender chicken pieces.", "price": 12.99},
-    # Other menu items are omitted for brevity
-]
-
-# Filter dishes by category
-def filter_dishes(category):
-    if category == "ALL":
-        return menu_data
-    return [dish for dish in menu_data if dish["category"] == category]
-
-# Generate dish cards with "Add" button
-def display_dishes(category):
-    filtered_dishes = filter_dishes(category)
-    html_content = "<div style='display: flex; flex-direction: column; align-items: center; width: 100%; height:100%'>"
-    for dish in filtered_dishes:
-        html_content += f"""
-        <div style='margin: 10px; display: flex; align-items: center; justify-content: space-between; 
-                    width: 80%; padding: 10px; border: 1px solid #ddd; border-radius: 10px; 
-                    background-color: #f9f9f9;'>
-            <div style='flex: 1; margin-right: 20px; text-align: left;'>
-                <h4 style='font-size: 18px; color: #444; margin: 0;'>{dish['name']}</h4>
-                <p style='font-size: 14px; color: #666; margin: 5px 0;'>{dish['description']}</p>
-                <p style='font-size: 16px; color: #444; margin: 0;'>Price: {dish['price']}</p>
-            </div>
-            <div style='text-align: center;'>
-                <img src='{dish['image']}' alt='{dish['name']}' 
-                     style='width: 150px; height: 100px; object-fit: cover; border-radius: 10px;'>
-                <button onclick="alert('Added to cart: {dish['name']}')" 
-                        style="margin-top: 15px; padding: 10px 20px; background-color: #28a745; color: white; border: none; 
-                               border-radius: 5px; cursor: pointer;">Add</button>
-            </div>
-        </div>
-        """
-    html_content += "</div>"
-    return html_content
-
 # Voice assistant function
 def voice_assistant(audio_file):
     """Handles voice input and responds dynamically."""
@@ -77,36 +38,19 @@ def voice_assistant(audio_file):
 
 # Main Gradio App
 with gr.Blocks() as demo:
-    gr.HTML("<h1 style='text-align: center; color: #333;'>🍛 Biryani Hub Menu 🍛</h1>")
-
-    # Buttons for category selection
-    with gr.Row():
-        btn_all = gr.Button("ALL")
-        btn_vegan = gr.Button("VEGAN")
-        btn_halal = gr.Button("HALAL")
-
-    # Dish display
-    dish_display = gr.HTML(value=display_dishes("ALL"))
-
+    gr.HTML("<h1 style='text-align: center; color: #333;'>🎤 Voice Assistant</h1>")
+    
     # Voice Assistant Section
     with gr.Row():
-        gr.Markdown("### Voice Assistant")
-        mic_input = gr.Audio(type="filepath", label="Speak Here")
-        response_output = gr.Audio(type="filepath", label="Response")
-        mic_input.change(voice_assistant, inputs=[mic_input], outputs=[response_output])
-
-    # Update dishes based on category selection
-    btn_all.click(
-        lambda: gr.update(value=display_dishes("ALL")),
-        outputs=dish_display
-    )
-    btn_vegan.click(
-        lambda: gr.update(value=display_dishes("VEGAN")),
-        outputs=dish_display
-    )
-    btn_halal.click(
-        lambda: gr.update(value=display_dishes("HALAL")),
-        outputs=dish_display
-    )
+        mic_button = gr.Image(
+            value="/mnt/data/Screenshot 2024-12-28 101858.jpg", 
+            interactive=True, 
+            label="Click to Speak"
+        )
+        mic_input = gr.Audio(type="filepath", label="Record Your Query", visible=False)
+        mic_response = gr.Audio(type="filepath", label="Response", visible=False)
+
+    # Link the microphone button to the function
+    mic_button.click(voice_assistant, inputs=[mic_input], outputs=[mic_response])
 
 demo.launch()