Create app.py

app.py

@@ -0,0 +1,21 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the question answering pipeline with your fine-tuned model
+qa_pipe = pipeline("question-answering", model="ayoubkirouane/QA-DistilBERT-base-squad")
+
+def answer_question(context, question):
+    result = qa_pipe(question=question, context=context)
+    return result['answer']
+
+# Create a Gradio interface
+iface = gr.Interface(
+    fn=answer_question,
+    inputs=["text", "text"],
+    outputs="text",
+    title="Question Answering with QA-DistilBERT-base-squad",
+    description="Provide a context and a question to get an answer.",
+)
+
+# Launch the Gradio app
+iface.launch(debug=True)