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app.py

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+from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
+import gradio as gr
+# Creating the Q&A pipeline
+nlp = pipeline('question-answering', model='deepset/roberta-base-squad2', tokenizer='deepset/roberta-base-squad2')
+
+def questionAndAnswer(ques,content):
+  question_set = {'question':ques,'context':content}
+  results = nlp(question_set)
+  return results['answer']
+
+interface = gr.Interface(fn=questionAndAnswer, 
+                        inputs=["text","text"],
+                         outputs="text", 
+                        title='Bilal Question&Answer')
+                        
+
+interface.launch(inline=False)
+