Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load your model
+qa_pipeline = pipeline("question-answering", model="Austinsz-Warehouse/test2")
+
+def answer_question(context, question):
+    result = qa_pipeline(question=question, context=context)
+    return result['answer']
+
+# Gradio interface
+gr.Interface(
+    fn=answer_question,
+    inputs=["text", "text"],
+    outputs="text",
+    title="Question Answering with test2",
+    description="Ask questions based on a given context using Austinsz-Warehouse/test2"
+).launch()