Update app.py

app.py

@@ -1,7 +1,7 @@
 import streamlit as st
 from textwrap3 import wrap
 from flashtext import KeywordProcessor
-import torch, random, nltk, string, traceback, sys, requests, datetime, os
+import torch, random, nltk, string, traceback, sys, os, requests, datetime
 import numpy as np
 import pandas as pd
 from transformers import T5ForConditionalGeneration,T5Tokenizer
@@ -57,13 +57,13 @@ def load_file():
             raw_text = str(uploaded_file.read(),"utf-8")
         return raw_text
 
-
 # Loading Model
-summary_model, summary_tokenizer, question_tokenizer, question_model = load_model()
+summary_model, summary_tokenizer, question_tokenizer, question_model =load_model()
 
 # App title and description
-st.title("MCQ generator")
-st.write("Insert any long text, and then you will got some MCQ with answers")
+st.title("P's Prototype")
+st.write("Upload text, get exam")
+
 
 # Load file