Update app.py

app.py

@@ -1,14 +1,8 @@
 import torch
-#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
-
-device = 0 if torch.cuda.is_available() else "cpu"
-
 def score_file(test_file, ref_file, score_list_nis, score_list_is):
     score_list = []
     if score_list_nis is not None: