Create app.py

app.py

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+import gradio as gr
+
+from transformers import pipeline
+
+qa = pipeline("question-answering")
+
+def question_answering(question, context):
+  return qa(question, context)["answer"]
+
+question = "What is Pragyan?"
+context = "Chandrayaan-3 is the third and most recent lunar Indian Space Research exploration mission under the Chandrayaan programme of ISRO. It consists of a lander named Vikram and a rover named Pragyan similar to Chandrayaan-2. Its propulsion module behaves like a communication relay satellite."
+
+title = "Extractive question answering"
+description = """
+<img src="https://www.zdnet.com/a/img/resize/1a8d2c93f1f51f9f33d21d7224840dfcf06f5a50/2023/02/14/328d5be2-918d-4aee-8690-875aed4a8c8a/gettyimages-1458045238-1.jpg?auto=webp&width=1280" width=200px>
+"""
+question_box = gr.Textbox(label="Question:", placeholder="What is Pragyan?", lines=2)
+context_box = gr.Textbox(label="Context", placeholder=context, lines=10)
+demo = gr.Interface(fn=question_answering,
+                    inputs=[question_box, context_box],
+                    outputs="text",
+                    title=title,
+                    description=description)
+
+demo.launch()