Update app.py

app.py

@@ -82,61 +82,61 @@ def transcribe(inputs, task):
     text = asr_pl(asr_inputs, batch_size=BATCH_SIZE, generate_kwargs={"task": task}, return_timestamps=True)["text"]
     return  text
 
-def update_audio_input(audio_input_choice):
-    if audio_input_choice == "audio file":
-        return gr.Audio(sources="upload", type="filepath", label="Audio: from file")
-    elif audio_input_choice == "microphone":
-        return gr.Audio(sources="microphone", type="filepath", label="Audio: from microphone")
 
+audio_input = gr.Audio(sources="microphone", type="filepath", label="Audio: from microphone") #gr.Audio(sources="upload", type="filepath", label="Audio: from file")
+audio_input_choice = gr.Radio(["audio file", "microphone"], label="Audio", value="audio file")
+task_input_choice = gr.Radio(["transcribe", "translate"], label="Task", value="transcribe")
+
+transcribe_interface = gr.Interface(
+    fn=transcribe,
+    inputs=[
+        audio_input,
+        audio_input_choice,
+        task_input_choice,
+    ],
+    outputs="text",
+    title=application_title,
+    description=application_description,
+    allow_flagging="never",
+)
 
-with gr.Blocks() as demo:
-    audio_input = gr.Audio(sources="microphone", type="filepath", label="Audio: from microphone") #gr.Audio(sources="upload", type="filepath", label="Audio: from file")
-    audio_input_choice = gr.Radio(["audio file", "microphone"], label="Audio", value="audio file")
-    task_input_choice = gr.Radio(["transcribe", "translate"], label="Task", value="transcribe")
-    
-    transcribe_interface = gr.Interface(
-        fn=transcribe,
-        inputs=[
-            audio_input,
-            audio_input_choice,
-            task_input_choice,
-        ],
-        outputs="text",
-        title=application_title,
-        description=application_description,
-        allow_flagging="never",
-    )
-    
-    
-    """
-    For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-    """
-    
-    chatbot_sys_output = gr.Textbox(value="You are a friendly Chatbot.", label="System message")
-    chatbot_max_tokens = gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens")
-    chatbot_temperature = gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature")
-    chatbot_top_p = gr.Slider(
-                minimum=0.1,
-                maximum=1.0,
-                value=0.95,
-                step=0.05,
-                label="Top-p (nucleus sampling)",
-            )
-    
-    chat_interface = gr.ChatInterface(
-        respond,
-        title=application_title,
-        description=application_description,
-        additional_inputs=[
-            chatbot_sys_output,
-            chatbot_max_tokens,
-            chatbot_temperature,
-            chatbot_top_p,
-        ],
-    )
 
+"""
+For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
+"""
+
+chatbot_sys_output = gr.Textbox(value="You are a friendly Chatbot.", label="System message")
+chatbot_max_tokens = gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens")
+chatbot_temperature = gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature")
+chatbot_top_p = gr.Slider(
+            minimum=0.1,
+            maximum=1.0,
+            value=0.95,
+            step=0.05,
+            label="Top-p (nucleus sampling)",
+        )
+
+chat_interface = gr.ChatInterface(
+    respond,
+    title=application_title,
+    description=application_description,
+    additional_inputs=[
+        chatbot_sys_output,
+        chatbot_max_tokens,
+        chatbot_temperature,
+        chatbot_top_p,
+    ],
+)
+
+with gr.Blocks() as demo:
     gr.TabbedInterface([transcribe_interface, chat_interface], ["Step 1: Transcribe", "Step 2: Extract"])
-    audio_input_choice.change(update_audio_input, audio_input_choice, audio_input)
+    @audio_input_choice.change(audio_input_choice, audio_input)
+    def update_audio_input(audio_input_choice):
+        if audio_input_choice == "audio file":
+            return gr.Audio(sources="upload", type="filepath", label="Audio: from file")
+        elif audio_input_choice == "microphone":
+            return gr.Audio(sources="microphone", type="filepath", label="Audio: from microphone")
+
 
 if __name__ == "__main__":
     demo.queue().launch() #demo.launch()