Create app.py

app.py

@@ -0,0 +1,37 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load Question Answering pipeline
+qa_pipeline = pipeline(
+    "question-answering",
+    model="distilbert-base-uncased-distilled-squad"
+)
+
+def answer_question(context, question):
+    if not context or not question:
+        return "Please provide both context and question."
+    
+    result = qa_pipeline(
+        question=question,
+        context=context
+    )
+    
+    answer = result['answer']
+    score = round(result['score'], 4)
+    
+    return f"Answer: {answer}\nConfidence Score: {score}"
+
+# Gradio Interface
+iface = gr.Interface(
+    fn=answer_question,
+    inputs=[
+        gr.Textbox(lines=8, placeholder="Enter context paragraph here...", label="Context"),
+        gr.Textbox(lines=2, placeholder="Enter your question here...", label="Question")
+    ],
+    outputs=gr.Textbox(label="Predicted Answer"),
+    title="Extractive Question Answering App",
+    description="Ask a question based on the given context paragraph."
+)
+
+if __name__ == "__main__":
+    iface.launch()