Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load the pretrained QnA pipeline
+qa_pipeline = pipeline("question-answering", model="deepset/roberta-base-squad2")
+
+def answer_question(context, question):
+    result = qa_pipeline(question=question, context=context)
+    return result["answer"]
+
+# Gradio interface
+demo = gr.Interface(
+    fn=answer_question,
+    inputs=[
+        gr.Textbox(label="Context (paste an article or passage)", lines=6),
+        gr.Textbox(label="Question")
+    ],
+    outputs="text",
+    title="Tourism QnA Bot",
+    description="Paste some text in the context box, then ask a question about it!"
+)
+
+demo.launch()