Update app.py

app.py

@@ -28,7 +28,11 @@ with open(TEXT_LABEL,"r",encoding='utf-8')  as f:
 
 # Gaepago Inference Model function
 def gaepago_fn(tmp_audio_dir):
-    print(tmp_audio_dir)
+    if os.path.isfile(tmp_audio_dir):
+        print(tmp_audio_dir)
+    else:
+        ## khan test
+        tmp_audio_dir = './sample/bark_sample.wav'
     audio_dataset = Dataset.from_dict({"audio": [tmp_audio_dir]}).cast_column("audio", Audio(sampling_rate=16000))
     inputs = feature_extractor(audio_dataset[0]["audio"]["array"]
                                ,sampling_rate=audio_dataset[0]["audio"]["sampling_rate"]