Update app.py

app.py

@@ -56,9 +56,9 @@ def context_func(message):
 
   return most_similar_context
 
-def answer_question(question):
+def answer_question(question, tokenizer, model):
     context = context_func(question)
-    tokenizer = AutoTokenizer.from_pretrained("nlp-group/sindi-bert-final")
+    #tokenizer = AutoTokenizer.from_pretrained("nlp-group/sindi-bert-final")
     # Tokenize the inputs
     inputs = tokenizer(question, context, return_tensors="pt", max_length=512, truncation=True)
 
@@ -88,7 +88,7 @@ def main():
     """
     tokenizer = AutoTokenizer.from_pretrained("nlp-group/sindi-bert-final")
     model = AutoModelForQuestionAnswering.from_pretrained("nlp-group/sindi-bert-final")
-    iface = gr.Interface(fn=answer_question,
+    iface = gr.Interface(fn=answer_question(tokenizer, model),
                          inputs=["text"],
                          outputs=[gr.Textbox(label="Answer")],
                          title="Women Cancer ChatBot",