Update app.py

app.py

@@ -1,6 +1,3 @@
-# This is a Gradio app that simulates the functionality of the provided Tkinter application.
-# It includes a text input, a voice input button, and a response area to display the AI's response.
-
 import gradio as gr
 import asyncio
 import speech_recognition as sr
@@ -20,29 +17,38 @@ async def process_query(query):
     return result['response']
 
 # Function to handle the text input submission
-def submit_query(query):
+def submit_query(query, chat_history):
     if not query:
-        return ""
+        return chat_history
     response = asyncio.run(process_query(query))
-    return f"Response: {response}"
+    chat_history.append({"role": "user", "content": query})
+    chat_history.append({"role": "assistant", "content": response})
+    return "", chat_history
 
 # Function to handle voice input
 def listen_voice_command():
     recognizer = sr.Recognizer()
     with sr.Microphone() as source:
-        print("Listening for voice command...")
+        print("Listening...")
         audio = recognizer.listen(source)
         try:
-            command = recognizer.recognize_google(audio)
-            return command
+            query = recognizer.recognize_google(audio)
+            return query
         except sr.UnknownValueError:
-            return "Voice command not recognized."
-        except sr.RequestError:
-            return "Could not request results; check your network connection."
+            return "Could not understand audio"
+        except sr.RequestError as e:
+            return f"Could not request results; {e}"
 
-# Create the Gradio interface
+# Gradio app
 with gr.Blocks() as demo:
-    query_entry = gr.Textbox(label="Enter your query")
-    response_area = gr.Textbox(label="Response")
-    submit_button = gr.Button("Submit")
-    voice_button = gr
+    chatbot = gr.Chatbot(type="messages")
+    msg = gr.Textbox(label="Enter your message")
+    voice_btn = gr.Button("Speak")
+    clear = gr.Button("Clear")
+
+    # Event listeners
+    msg.submit(submit_query, [msg, chatbot], [msg, chatbot], queue=False)
+    voice_btn.click(listen_voice_command, None, msg, queue=False)
+    clear.click(lambda: None, None, chatbot, queue=False)
+
+demo.launch(show_error=True)