Create app.py

app.py

@@ -0,0 +1,21 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the Question Answering pipeline
+qa_model = pipeline("question-answering", model="distilbert-base-uncased-distilled-squad")
+
+def answer_question(context, question):
+    result = qa_model(question=question, context=context)
+    answer = result['answer']
+    score = result['score']
+    return answer, f"{score:.2f}"
+
+# Define the Gradio interface
+with gr.Interface(
+        fn=answer_question,
+        inputs=[gr.inputs.Textbox(lines=10, placeholder="Enter the context here..."), gr.inputs.Textbox(lines=2, placeholder="Enter your question here...")],
+        outputs=[gr.outputs.Textbox(label="Answer"), gr.outputs.Textbox(label="Confidence Score")],
+        title="Question Answering System",
+        description="Upload a document and ask questions to get answers based on the context."
+) as qa_app:
+    qa_app.launch()