Update app.py

app.py

@@ -160,23 +160,26 @@ def return_audio_clip(audio_text):
     filepath = os.path.join("pre_recoreded",post_file_name)
     return filepath
 
-with gr.Blocks() as demo:
+with gr.Blocks(css=".gradio-container {background-color: lightgray;}") as demo:
     gr.Markdown("Select audio or record audio")
     with gr.Row():  
         with gr.Column():  
-            input_audio_text = gr.Dropdown(["Please select any of the following options","Angry", "Happy", "Sad", "Disgust","Fear", "Surprise", "Neutral"],
-                                        lable = "Input Audio",interactive=True)
+            input_audio_text = gr.Dropdown(lable = "Input Audio",["Please select any of the following options","Angry", "Happy", "Sad", "Disgust","Fear", "Surprise", "Neutral"],
+                                        interactive=True)
             audio_ui=gr.Audio()
             input_audio_text.change(return_audio_clip,input_audio_text,audio_ui)
             output_text = gr.Textbox(lable="Prdicted emotion")            
             sub_btn = gr.Button("Submit")
         
         with gr.Column():
-            audio=gr.Audio(source="microphone", type="file",labele="Recored audio")
+            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.<br/>
+                    <p style='text-align: center;'>Developed by :[ Pragnakalp Techlabs](https://www.pragnakalp.com)</p>""")
     sub_btn.click(selected_audio, inputs=input_audio_text, outputs=output_text)
     sub_btn2.click(recorded_audio, inputs=audio, outputs=recorded_text)