Update app.py

app.py

@@ -23,7 +23,9 @@ speaker_embeddings = torch.tensor(embeddings_dataset[7306]["xvector"]).unsqueeze
 
 print(speaker_embeddings.shape)
 
+
 if 0:
+    
     def translate(audio):
         outputs = asr_pipe(audio, max_new_tokens=256, generate_kwargs={"task": "translate"})
         return outputs["text"]
@@ -73,3 +75,13 @@ if 0:
         gr.TabbedInterface([mic_translate, file_translate], ["Microphone", "Audio File"])
     
     demo.launch()
+    
+else:        
+
+    def greet(name):
+        return "Hello " + name
+    
+    
+    demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+    
+    demo.launch()