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generator.py

@@ -37,7 +37,7 @@ import streamlit as st
 def load_model():
   hfm = pickle.load(open('t5_model.sav','rb'))
   hft = T5TokenizerFast.from_pretrained("t5-base")
-  tok = et.from_pretrained("mrm8488/electra-small-finetuned-squadv2")
+  # tok = att.from_pretrained("mrm8488/elect")
   model = pickle.load(open('electra_model.sav','rb'))
   # return hfm, hft,tok, model
   return hfm, hft, tok, model
@@ -108,7 +108,7 @@ def gen_question(inputs):
 # gen_question(f"answer: {string_query} context: The first C program said {string_query} ").  #The format of the query to generate questions
 
 def tokenize(inputs) :
-    inputs = self.tokenizer.batch_encode_plus(
+    inputs = hft.batch_encode_plus(
         inputs, 
         max_length="512",
         add_special_tokens=True,