Update app.py

Try same paragraph and question on a different model: distilbert-base-cased-distilled-squad.

app.py

@@ -2,9 +2,13 @@ from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
 import gradio as grad
 import ast
 
-# First, the RoBERTa base model is used, fine-tuned using the SQuAD 2.0 dataset. 
+# 1. The RoBERTa base model is used, fine-tuned using the SQuAD 2.0 dataset. 
 # It’s been trained on question-answer pairs, including unanswerable questions, for the task of question and answering.
-mdl_name = "deepset/roberta-base-squad2"
+# mdl_name = "deepset/roberta-base-squad2"
+# my_pipeline = pipeline('question-answering', model=mdl_name, tokenizer=mdl_name)
+
+# 2. Different model.
+mdl_name = "distilbert-base-cased-distilled-squad"
 my_pipeline = pipeline('question-answering', model=mdl_name, tokenizer=mdl_name)
 
 def answer_question(question,context):