Update app.py

app.py

@@ -1,24 +1,48 @@
 import gradio as gr
 
-
 def to_audioClassification():
     return {
       audio_classification: gr.Row(visible=True),
       realtime_classification: gr.Row(visible=False),
+      speech_recognition: gr.Row(visible=False),
+      chatbot_qa: gr.Row(visible=False),
     }
     
 def to_realtimeAudioClassification():
     return {
       audio_classification: gr.Row(visible=False),
       realtime_classification: gr.Row(visible=True),
+      speech_recognition: gr.Row(visible=False),
+      chatbot_qa: gr.Row(visible=False),
+    }
+
+def to_speechRecognition():
+    return {
+      audio_classification: gr.Row(visible=False),
+      realtime_classification: gr.Row(visible=False),
+      speech_recognition: gr.Row(visible=True),
+      chatbot_qa: gr.Row(visible=False),
+    }
+
+def to_chatbot():
+    return {
+      audio_classification: gr.Row(visible=False),
+      realtime_classification: gr.Row(visible=False),
+      speech_recognition: gr.Row(visible=False),
+      chatbot_qa: gr.Row(visible=True),
     }
 
 
 with gr.Blocks() as demo:
 
+    with gr.Accordion("Settings", open=True):
+      language = gr.Radio(["en-us", "pt-br"], label="Language", info="Choose the language to display the classification result and audio", value='en-us', interactive=True)
+
     with gr.Row():
-      btn0 = gr.Button("Audio Classification", scale=1, size='lg')
-      btn1 = gr.Button("Realtime Audio Classification", scale=1, size='lg')
+      btn0 = gr.Button("Audio Classification", scale=1,  size='lg')
+      btn1 = gr.Button("Realtime Audio Classification", scale=1,size='lg')
+      btn2 = gr.Button("Speech Recognition", scale=1, size='lg')
+      btn3 = gr.Button("Help", scale=1, size='lg')
 
     with gr.Row(visible=False) as audio_classification:
           with gr.Column(min_width=700):
@@ -41,9 +65,40 @@ with gr.Blocks() as demo:
           with gr.Column(min_width=700):
                 output = gr.Label(label="Audio Classification")
 
+    with gr.Row(visible=False) as speech_recognition:
+          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])
+          with gr.Column(min_width=700):
+                output = gr.Label(label="Transcription")
+
+    
+    with gr.Row(visible=False) as chatbot_qa:
+      chatbot = gr.Chatbot(
+        [],
+        elem_id="chatbot",
+        bubble_full_width=False,
+        # avatar_images=(None, "/content/avatar-socialear.png"),
+        min_width=2000
+      )
+      with gr.Row(min_width=2000):
+        txt = gr.Textbox(
+              scale=4,
+              show_label=False,
+              placeholder="Enter text and press enter",
+              container=False,
+              min_width=1000
+          )
+        submit = gr.Button(value="", size='sm', scale=1)
+
 
-    btn0.click(fn=to_audioClassification, outputs=[audio_classification, realtime_classification])
-    btn1.click(fn=to_realtimeAudioClassification, outputs=[audio_classification, realtime_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])
+    btn2.click(fn=to_speechRecognition, outputs=[audio_classification, realtime_classification, speech_recognition, chatbot_qa])
+    btn3.click(fn=to_chatbot, outputs=[audio_classification, realtime_classification, speech_recognition, chatbot_qa])
 
 
 if __name__ == "__main__":