Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load model
+qa_pipeline = pipeline("question-answering", model="distilbert-base-cased-distilled-squad")
+
+# Function to generate answers
+def answer_question(context, question):
+    if not context or not question:
+        return "⚠️ Please enter both a text passage and a question!"
+    result = qa_pipeline(question=question, context=context)
+    return result["answer"]
+
+# Create Gradio UI
+gr.Interface(
+    fn=answer_question,
+    inputs=[gr.Textbox(lines=7, placeholder="Enter your text passage here..."), gr.Textbox(placeholder="Ask a question based on the text...")],
+    outputs="text",
+    title="🤔 AI Q&A Assistant",
+    description="Enter a passage and ask a question about it. The AI will find the best answer for you!",
+    allow_flagging="never"
+).launch()