Update app.py

app.py

@@ -1,15 +1,19 @@
-from transformers import AutoModelForCausalLM, AutoTokenizer
+from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline, TFAutoModelForQuestionAnswering
 import gradio as gr
 import torch
+import tensorflow as tf
 
 
 title = "🤖AI ChatBot"
 description = "A State-of-the-Art Large-scale Pretrained Response generation model (DialoGPT)"
 examples = [["How are you?"]]
 
+model = TFAutoModelForQuestionAnswering.from_pretrained("bert-large-uncased-whole-word-masking-finetuned-squad",return_dict=False)
+tokenizer = AutoTokenizer.from_pretrained("bert-large-uncased-whole-word-masking-finetuned-squad")
+nlp = pipeline("question-answering", model=model, tokenizer=tokenizer)
 
-tokenizer = AutoTokenizer.from_pretrained("microsoft/DialoGPT-large")
-model = AutoModelForCausalLM.from_pretrained("microsoft/DialoGPT-large")
+# tokenizer = AutoTokenizer.from_pretrained("microsoft/DialoGPT-large")
+# model = AutoModelForCausalLM.from_pretrained("microsoft/DialoGPT-large")
 
 
 def predict(input, history=[]):