Update app.py

app.py

@@ -93,20 +93,18 @@ def selected_audio(audio):
 def recorded_audio(audio):
     
     get_audio_name = ''
-    try:
-        if audio:
-            get_audio_name = ''.join([random.choice(string.ascii_letters + string.digits) for n in range(5)])
-            get_audio_name = get_audio_name + '.wav'
-            audio_file_path = audio.name
-            final_output = predict_speech_emotion(audio_file_path)
-            
-            flag(audio_file_path,get_audio_name,final_output)
+    final_output = ''
+    if audio:
+        get_audio_name = ''.join([random.choice(string.ascii_letters + string.digits) for n in range(5)])
+        get_audio_name = get_audio_name + '.wav'
+        audio_file_path = audio.name
+        final_output = predict_speech_emotion(audio_file_path)
         
+        flag(audio_file_path,get_audio_name,final_output)
         return final_output
-    except Exception as e:
-        print(e)
-        return "ERROR"
-
+    else:
+        raise gr.Error("Please record audio first!!!!")
+    
     
 def predict_speech_emotion(filepath):
     if os.path.exists(filepath):
@@ -140,15 +138,17 @@ with gr.Blocks(css=".gradio-container {background-color: lightgray;}") as blocks
             input_audio_text.change(return_audio_clip,input_audio_text,audio_ui)
             output_text = gr.Textbox(lable="Prdicted emotion")            
             sub_btn = gr.Button("Submit")
-        
+            gr.Button.style(sub_btn,bg_color='orange',text_color='white')
         with gr.Column():
             audio=gr.Audio(labele="Recored audio",source="microphone", type="file")
             recorded_text = gr.Textbox(lable="Prdicted emotion")
             with gr.Column():
                 sub_btn2 = gr.Button("Submit")
-    gr.Markdown("""Feel free to give us your [feedback](https://www.pragnakalp.com/contact/) and contact us at [letstalk@pragnakalp.com]("mailto:letstalk@pragnakalp.com") 
-                    if you want to have your own Speech emotion detection system. We are just one click away. And don't forget to check out more interesting 
-                    [NLP services](https://www.pragnakalp.com/services/natural-language-processing-services/) we are offering.
+    gr.Markdown("""<p style='text-align: center;'>Feel free to give us your <a href="https://www.pragnakalp.com/contact/" target="_blank">feedback</a> and contact us 
+                    at <a href="mailto:letstalk@pragnakalp.com" target="_blank">letstalk@pragnakalp.com</a> if you want to have your own Speech emotion detection system. 
+                    We are just one click away. And don't forget to check out more interesting 
+                    <a href="https://www.pragnakalp.com/services/natural-language-processing-services/" target="_blank">NLP services</a> we are offering.</p>
+                    we are offering.</p>
                     <p style='text-align: center;'>Developed by :<a href="https://www.pragnakalp.com" target="_blank"> Pragnakalp Techlabs</a></p>""")
     sub_btn.click(selected_audio, inputs=input_audio_text, outputs=output_text)
     sub_btn2.click(recorded_audio, inputs=audio, outputs=recorded_text)