adding predict() method that uses client

app.py

@@ -38,6 +38,22 @@ device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
 
 
 def process_speech(sound):
+    """
+    processing sound using seamless_m4t
+    """
+    # task_name = "T2TT"
+    result = client.predict(task_name="S2TT (Speech to Text translation)",
+                            audio_source="microphone",
+                            input_audio_mic=sound,
+                            input_audio_file=None,
+                            input_text=None, 
+                            source_language=None,
+                            target_language="English")
+    print(result)
+    return result[1]
+    
+    
+def process_speech_using_model(sound):
     """
     processing sound using seamless_m4t
     """