Update app.py

app.py

@@ -317,7 +317,21 @@ def add_message(history, message):
     history.append((message, None))
     return history, gr.Textbox(value="", interactive=True, placeholder="Enter message or upload file...", show_label=False)
 
+def process_single_audio_chunk(state):
+    audio_chunk = state[-1] if state else None
+    if audio_chunk:
+        stream, full_text, result = transcribe_function(None, audio_chunk)
+        return full_text
+    return ""
 
+def handle_single_chunk(history, choice, tts_choice, state):
+    full_text = process_single_audio_chunk(state)
+    if full_text:
+        history.append((full_text, None))
+        response, addresses = generate_answer(full_text, choice)
+        history[-1][1] = response
+        return history, None
+    return history, None
 
 
 
@@ -670,6 +684,7 @@ with gr.Blocks(theme='Pijush2023/scikit-learn-pijush') as demo:
             chat_msg = chat_input.submit(add_message, [chatbot, chat_input], [chatbot, chat_input], api_name="voice_query")
             tts_choice = gr.Radio(label="Select TTS System", choices=["Alpha", "Beta", "Gamma"], value="Alpha")
             retriver_button = gr.Button("Retriever")
+            single_chunk_button = gr.Button("Process Single Chunk")
             gr.Markdown("<h1 style='color: red;'>Radar Map</h1>", elem_id="Map-Radar")
             location_output = gr.HTML()
             retriver_button.click(fn=add_message, inputs=[chatbot, chat_input], outputs=[chatbot, chat_input]).then(
@@ -684,7 +699,7 @@ with gr.Blocks(theme='Pijush2023/scikit-learn-pijush') as demo:
            
             audio_input = gr.Audio(sources=["microphone"], streaming=True, type='numpy')
             audio_input.stream(transcribe_function, inputs=[state, audio_input], outputs=[state, chat_input], api_name="voice_query_to_text")
-            
+            single_chunk_button.click(fn=handle_single_chunk, inputs=[chatbot, choice, tts_choice, state], outputs=[chatbot],api_name="single_chunk")            
 
         with gr.Column():
              weather_output = gr.HTML(value=fetch_local_weather())