Update app.py

app.py

@@ -6,6 +6,7 @@ import ast
 import pandas as pd
 import nltk
 nltk.download('stopwords')
+from simple import trail
 #from pyconverse import SemanticTextSegmention
 from tqdm.notebook import tqdm
 import time
@@ -19,7 +20,7 @@ from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 from torch import cuda 
 from transformers import pipeline
 
-
+trail()
 device = 'cuda' if cuda.is_available() else 'cpu'
 tokenizer = AutoTokenizer.from_pretrained("t5-base")
 os.makedirs('./transcripts/')