Update app.py

app.py

@@ -1,21 +1,51 @@
 import gradio as gr
 
 
-def change_textbox(choice):
-    if choice == "short":
-        return gr.Textbox(lines=2, visible=True)
-    elif choice == "long":
-        return gr.Textbox(lines=8, visible=True, value="Lorem ipsum dolor sit amet")
-    else:
-        return gr.Textbox(visible=False)
+def to_audioClassification():
+    return {
+      audio_classification: gr.Row(visible=True),
+      realtime_classification: gr.Row(visible=False),
+    }
+    
+def to_realtimeAudioClassification():
+    return {
+      audio_classification: gr.Row(visible=False),
+      realtime_classification: gr.Row(visible=True),
+    }
 
 
 with gr.Blocks() as demo:
-    radio = gr.Radio(
-        ["short", "long", "none"], label="What kind of essay would you like to write?"
-    )
-    text = gr.Textbox(lines=2, interactive=True, show_copy_button=True)
-    radio.change(fn=change_textbox, inputs=radio, outputs=text)
 
+    with gr.Row():
+      btn0 = gr.Button("Audio Classification", scale=1, size='lg')
+      btn1 = gr.Button("Realtime Audio Classification", scale=1, size='lg')
 
-demo.launch()
+    with gr.Row(visible=False) as audio_classification:
+          with gr.Column(min_width=700):
+                with gr.Accordion("Record an Audio", open=True):
+                  inputRecord = gr.Audio(label="Audio Input", source="microphone", type="filepath")
+                with gr.Accordion("Upload a file", open=False):
+                  inputUpload = gr.Audio(label="Audio Input", source="upload", type="filepath")
+                clearBtn = gr.ClearButton([inputRecord, inputUpload])
+          with gr.Column(min_width=700):
+                output = gr.Label(label="Audio Classification")
+                btn = gr.Button(value="Generate Audio")
+                audioOutput = gr.Audio(label="Audio Output", interactive=False)
+
+
+    with gr.Row(visible=False) as realtime_classification:
+          with gr.Column(min_width=700):
+                input = gr.Audio(label="Audio Input", source="microphone", type="filepath",streaming=True, every=10)
+                historyOutput = gr.Textbox(label="History", interactive=False)
+                # historyOutput = gr.Label(label="History")
+          with gr.Column(min_width=700):
+                output = gr.Label(label="Audio Classification")
+
+
+    btn0.click(fn=to_audioClassification, outputs=[audio_classification, realtime_classification, speech_recognition, chatbot_qa])
+    btn1.click(fn=to_realtimeAudioClassification, outputs=[audio_classification, realtime_classification, speech_recognition, chatbot_qa])
+    
+
+if __name__ == "__main__":
+    demo.queue()
+    demo.launch()