Update gradio

app.py

@@ -24,7 +24,7 @@ def inference(audio):
         result = start(to_list_files=[audio])
         return result[0]
     except Exception as e:
-        return "error.wav"
+        gr.Error(f"Maximum duration 150 sec\n{str(e)}")
 
         
 title = """<h1 id="title">DeNoise Speech Enhancement</h1>"""
@@ -40,28 +40,26 @@ h1#title {
 }
 '''
 
-demo = gr.Blocks(css=css)
-with demo:
+with gr.Blocks(css=css) as demo:
     gr.Markdown(title)
     gr.Markdown(description)
     gr.Markdown(twitter_link)
     
     
-    with gr.Tabs():
-        with gr.TabItem("Upload audio"):
-            iface = gr.Interface(
-                inference,
-                inputs = gr.Audio(source="upload", type="filepath"),
-                outputs = gr.Audio(type="file"),
-                examples=[["man.wav"], ["woman.wav"]])
-        with gr.TabItem("Record your voice"):
-            iface = gr.Interface(
-              inference,
-              inputs = gr.Audio(source="microphone", label="Record yourself reading something out loud", type="filepath"),
-              outputs = gr.Audio(type="file"),
-            )
+    with gr.Tab("Upload audio"):
+        u_audio = gr.Audio(type="filepath", source="upload", label="Input audio")
+        u_output = gr.Audio(type="filepath", label="Output audio")
+        u_button = gr.Button("Submit")
     
+    with gr.Tab("Record your voice"):
+        m_audio = gr.Audio(ype="filepath", source="microphone", label="Record yourself reading something out loud")
+        m_output = gr.Audio(type="filepath", label="Output audio")
+        m_button = gr.Button("Submit")
+
+    gr.Examples(examples=["man.wav", "woman.wav"], inputs=u_audio, outputs=u_output, fn=inference, cache_examples=True)
+    u_button.click(inference, inputs=u_audio, outputs=u_output)
+    m_button.click(inference, inputs=m_audio, outputs=m_output)
     gr.Markdown("<div><center><img src='https://visitor-badge.glitch.me/badge?page_id=max_skobeev_fullsubnet_plus_public' alt='visitor badge'></center></div>")
 
 
-demo.launch(enable_queue=True, debug=True, show_error=True)
+demo.queue().launch(show_error=True)