Update app.py

app.py

@@ -90,17 +90,32 @@ def transcribe(asr_inputs, task):
         raise gr.Error("No audio file submitted! Please upload or record an audio file before submitting your request.") 
         
     text = asr_pl(asr_inputs, batch_size=ASR_BATCH_SIZE, generate_kwargs={"task": task}, return_timestamps=True)["text"]
-    return  text
+    return [text, {"text": text, "files":[]}]
 
 
 """Gradio User Interface"""
 #audio_input = gr.Audio(sources="upload", type="filepath", label="Audio: from file") #gr.Audio(sources="microphone", type="filepath", label="Audio: from microphone")
 #audio_input_choice = gr.Radio(["audio file", "microphone"], label="Audio Input Source", value="audio file") #
 
+# (transcribe) Interface components
 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")
 
+# ChatInterface components
+chatbot_main = gr.Chatbot(label="Extraction Output")
+chatbot_main_input = gr.MultimodalTextbox({"text": "Choose the referred material(s) and ask your question.", "files":[]})
+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)",
+        )
+
 transcribe_interface = gr.Interface(
     fn=transcribe,
     inputs=[
@@ -110,6 +125,7 @@ transcribe_interface = gr.Interface(
     ],
     outputs=[
         task_output, #"text",
+        chatbot_main_input,
     ],
     title=application_title,
     description=application_description,
@@ -120,18 +136,6 @@ 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_main_input = gr.MultimodalTextbox({"text": "Choose the referred material(s) and ask your question.", "files":[]})
-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,
@@ -157,7 +161,7 @@ with gr.Blocks() as demo:
     """
     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")
+            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")
             
@@ -167,10 +171,6 @@ with gr.Blocks() as demo:
                              outputs=task_output
                             )
 
-    def on_selected_tab(selected_tab):
-        print(f"Selected tab: {selected_tab['value']}, Selected state: {selected_tab['selected']}")
-    tabs.select(on_selected_tab)
-
 
 if __name__ == "__main__":
     demo.queue().launch() #demo.launch()