Update app.py

app.py

@@ -91,6 +91,7 @@ def transcribe(asr_inputs, task):
 
 audio_input = gr.Audio(sources=["upload", "microphone"], type="filepath", label="Audio Input Source")
 task_input_choice = gr.Radio(["transcribe", "translate"], label="Task", value="transcribe")
+task_output = gr.Textbox(label="Transcribed Output")
 
 transcribe_interface = gr.Interface(
     fn=transcribe,
@@ -99,7 +100,8 @@ transcribe_interface = gr.Interface(
         #audio_input_choice,
         task_input_choice,
     ],
-    outputs="text",
+    outputs=[
+        task_output, #"text",
     title=application_title,
     description=application_description,
     allow_flagging="never",
@@ -110,8 +112,8 @@ transcribe_interface = gr.Interface(
 For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
 """
 chatbot_main = gr.Chatbot(label="Extraction Output")
-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_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,
@@ -140,19 +142,19 @@ with gr.Blocks() as demo:
     """
     def clear_audio_input():
         return None
-    
-    def update_audio_input(audio_input_choice):
-        if audio_input_choice == "audio file":
-            return gr.Audio(sources="upload", label="Audio: from file") #, type="filepath", label="Audio: from file")
-        elif audio_input_choice == "microphone":
-            return gr.Audio(sources="microphone", label="Audio: from microphone") #, type="filepath", label="Audio: from microphone")
+    """
+    def update_task_input(task_input_choice):
+        if task_input_choice == "transcribe":
+            return gr.Textbox(label="Transcribed Output") #Audio(sources="upload", label="Audio: from file")
+        elif task_input_choice == "translate":
+            return gr.Textbox(label="Translated Output") #Audio(sources="microphone", label="Audio: from microphone")
             
-    #audio_input_choice.input(fn=clear_audio_input, outputs=audio_input).then(fn=update_audio_input, 
-    audio_input_choice.input(fn=update_audio_input, 
-                             inputs=audio_input_choice, 
-                             outputs=audio_input
+    #task_input_choice.input(fn=clear_audio_input, outputs=audio_input).then(fn=update_audio_input, 
+    task_input_choice.input(fn=update_task_input, 
+                             inputs=task_input_choice, 
+                             outputs=task_output
                             )
-    """
+
 
 if __name__ == "__main__":
     demo.queue().launch() #demo.launch()