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!pip install gradio transformers
import gradio as gr
from transformers import pipeline

qa_pipeline = pipeline("question-answering",model="distilbert-base-cased-distilled-squad")

def question_answer(context, question):
    result = qa_pipeline(question=question, context=context)
    return result["answer"]
# The issue was likely a typo in the function name called when creating the Gradio interface.
# Changing "answer_question" to "question_answer" should fix the issue.
interface = gr.Interface(fn=question_answer, inputs=["text", "text"], outputs="text") 
interface.launch()