Update app.py

app.py

@@ -1,8 +1,8 @@
 import torch
-#from transformers import pipeline
 #from transformers.pipelines.audio_utils import ffmpeg_read
 from speechscore import SpeechScore 
 import gradio as gr
+import pprint
 
 MODEL_NAME = "alibabasglab/speechscore"
 BATCH_SIZE = 1
@@ -24,6 +24,7 @@ def score_mic(test_file, score_list_nis):
     if score_list_nis is not None:
         score_list += score_list_nis       
     mySpeechScore = SpeechScore(score_list)  
+    pprint(test_file)
     scores = mySpeechScore(test_path=test_file, reference_path=None, window=None, score_rate=16000, return_mean=False)
     return scores