Update app.py

app.py

@@ -5,6 +5,21 @@ from indicnlp.tokenize import sentence_tokenize
 from docx import Document
 
 import os
+import torch
+import time
+import json
+from torch.utils.data import DataLoader, RandomSampler, SequentialSampler
+
+from transformers import (
+    AutoConfig,
+    AutoModelForQuestionAnswering,
+    AutoTokenizer,
+    squad_convert_examples_to_features
+)
+
+from transformers.data.processors.squad import SquadResult, SquadV2Processor, SquadExample
+from transformers.data.metrics.squad_metrics import compute_predictions_logits
+
 
 os.system('git clone https://github.com/TheAtticusProject/cuad.git')
 os.system('mv cuad cuad-training')
@@ -224,20 +239,6 @@ def translate_txt(document_name, output_file, src, trg):
         
       return output_file
       
-import torch
-import time
-import json
-from torch.utils.data import DataLoader, RandomSampler, SequentialSampler
-
-from transformers import (
-    AutoConfig,
-    AutoModelForQuestionAnswering,
-    AutoTokenizer,
-    squad_convert_examples_to_features
-)
-
-from transformers.data.processors.squad import SquadResult, SquadV2Processor, SquadExample
-from transformers.data.metrics.squad_metrics import compute_predictions_logits
 
 info_model_path =  'cuad-models/roberta-base/'
 info_config_class, info_model_class, info_tokenizer_class = (
@@ -390,7 +391,7 @@ def run_key_clause(document_name, output_name,source_language):
   return final_info
   
   
-  from transformers import AutoModelWithLMHead, AutoTokenizer
+from transformers import AutoModelWithLMHead, AutoTokenizer
 from docx import Document
 
 qg_tokenizer = AutoTokenizer.from_pretrained("mrm8488/t5-base-finetuned-question-generation-ap")