Update app.py

app.py

@@ -7,27 +7,30 @@ import soundfile as sf
 def main():
     # Gradio Interface
     with gr.Blocks() as app:
-        with gr.Group():
-            gr.Markdown(
-                """
-                # <div align="center"> Ilaria Audio Analyzer 💖 </div>
-                Audio Analyzer Software by Ilaria, Help me on [Ko-Fi](https://ko-fi.com/ilariaowo)\n
-                Special thanks to [Alex Murkoff](https://github.com/alexlnkp) for helping me coding it!
+        gr.Markdown(
+            """
+            # <div align="center"> Ilaria Audio Analyzer 💖 </div>
+            Audio Analyzer Software by Ilaria, Help me on [Ko-Fi](https://ko-fi.com/ilariaowo)\n
+            Special thanks to [Alex Murkoff](https://github.com/alexlnkp) for helping me coding it!
     
-                Need help with AI? [Join AI Hub!](https://discord.gg/aihub)
-                """
-            )
-    
-            output_markdown = gr.Markdown()
+            Need help with AI? [Join AI Hub!](https://discord.gg/aihub)
+            """
+        )
     
+        with gr.Column():
             audio_input = gr.Audio(type='filepath')
-            image_output = gr.Image(type='filepath', interactive=False)
+            with gr.Row():
+                create_spec_butt = gr.Button(value='Create Spectrogram And Get Info')
+                clear_audio_butt = gr.Button(value='Clear', variant='primary')
     
-            create_spec_butt = gr.Button(value='Create Spectrogram And Get Info')
-    
-            create_spec_butt.click(fn=create_spectrogram_and_get_info, inputs=[audio_input], outputs=[output_markdown, image_output])
+        with gr.Column():
+            output_markdown = gr.Markdown()
+            image_output = gr.Image(type='filepath', interactive=False)
     
-            app.queue(max_size=1022).launch(share=True)
+        clear_audio_butt.click(fn=lambda: {"value": "", "__type__": "update"}, inputs=[], outputs=[audio_input])
+        create_spec_butt.click(fn=create_spectrogram_and_get_info, inputs=[audio_input], outputs=[output_markdown, image_output])
+        
+        app.queue(max_size=1022).launch(share=True)
 
 def create_spectrogram_and_get_info(audio_file):
     # Clear figure in case it has data in it