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app.py

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+import gradio as gr
+from transformers import pipeline
+
+pipe = pipeline("question-answering", model="deepset/tinyroberta-squad2")
+
+def main(question, context):
+  answer = pipe(question=question, context=context)
+  return answer["answer"]
+
+with gr.Blocks() as demo:
+  gr.Markdown("""# Question Answerer!""")
+  with gr.Row():
+    with gr.Column():
+      text1 = gr.Textbox(
+            label="Question",
+            lines=1,
+            value="Who does Cristiano Ronaldo play for?",
+        )
+      text2 = gr.Textbox(
+            label="Context",
+            lines=3,
+            value="Cristiano Ronaldo is a player for Manchester United",
+        )
+      output = gr.Textbox()
+      b1 = gr.Button("Ask Question!")
+      b1.click(main, inputs=[text1, text2], outputs=output)
+  gr.Markdown("""#### powered by [Tassle](https://spring-soarer-4970.typedream.app/)""")
+
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+gradio
+transformers