Update app.py

app.py

@@ -3,6 +3,7 @@ import numpy as np
 import sqlite3
 import json
 from PIL import Image, ImageDraw
+import time
 
 # ------ Tool Implementations ------
 def get_recipe_by_ingredients(ingredients):
@@ -98,19 +99,14 @@ def process_query(query, db_conn):
         }
 
 # ------ Gradio Interface ------
-def process_voice_command(audio):
-    """Process voice command"""
-    # For demo purposes, we'll use text input directly
-    # In a real implementation, this would convert audio to text
-    sample_rate, audio_data = audio
-    query = "What can I make with eggs and flour?"  # Fixed for demo
-    
+def process_command(query):
+    """Process text command"""
     # Initialize database on first run
-    if not hasattr(process_voice_command, "db_conn"):
-        process_voice_command.db_conn = init_recipe_db()
+    if not hasattr(process_command, "db_conn"):
+        process_command.db_conn = init_recipe_db()
     
     # Process query
-    result = process_query(query, process_voice_command.db_conn)
+    result = process_query(query, process_command.db_conn)
     
     # Generate response
     response_text = ""
@@ -134,25 +130,39 @@ def process_voice_command(audio):
         for recipe in recipes:
             response_text += f"- {recipe[1]} ({recipe[4]} mins)\n"
     
-    # Return results (no audio in this simplified version)
-    return None, response_text, image
+    # Return results
+    return response_text, image
 
 # ------ Create Gradio Interface ------
-with gr.Blocks(title="Culinary Voice Assistant") as demo:
-    gr.Markdown("# 🧑‍🍳 MCP-Powered Culinary Voice Assistant")
+with gr.Blocks(title="Culinary Assistant") as demo:
+    gr.Markdown("# 🧑‍🍳 MCP-Powered Culinary Assistant")
     
     with gr.Row():
-        audio_input = gr.Audio(source="microphone", type="numpy", label="Speak to Chef")
+        with gr.Column():
+            text_input = gr.Textbox(label="Ask about recipes, conversions, or cooking tips")
+            submit_btn = gr.Button("Get Answer", variant="primary")
         with gr.Column():
             text_output = gr.Textbox(label="Assistant Response", interactive=False)
             image_output = gr.Image(label="Recipe Image", interactive=False)
     
-    submit_btn = gr.Button("Process Command", variant="primary")
-    
     submit_btn.click(
-        fn=process_voice_command,
-        inputs=[audio_input],
-        outputs=[gr.Audio(visible=False), text_output, image_output]
+        fn=process_command,
+        inputs=[text_input],
+        outputs=[text_output, image_output]
+    )
+    
+    gr.Examples(
+        examples=[
+            ["What can I make with eggs and flour?"],
+            ["Show me tomato soup"],
+            ["Convert 2 cups to milliliters"],
+            ["Find chocolate cake recipes"]
+        ],
+        inputs=[text_input],
+        outputs=[text_output, image_output],
+        fn=process_command,
+        cache_examples=True,
+        label="Example Queries"
     )
 
 if __name__ == "__main__":