added app

app.py

@@ -0,0 +1,26 @@
+from transformers import AutoTokenizer, pipeline
+from optimum.onnxruntime import ORTModelForQuestionAnswering
+import gradio as gr
+model = ORTModelForQuestionAnswering.from_pretrained("optimum/roberta-base-squad2")
+tokenizer = AutoTokenizer.from_pretrained("deepset/roberta-base-squad2")
+
+onnx_qa = pipeline("question-answering", model=model, tokenizer=tokenizer)
+
+question = "What's my name?"
+context = "My name is Philipp and I live in Nuremberg."
+def get_answer(question):
+    pred = onnx_qa(question, context)
+    return pred
+
+
+demo = gr.Blocks()
+
+with demo():
+    with gr.Row():
+        question = gr.Textbox(label='Question', lines= 3)
+        b1 = gr.Button('Get Answer')
+        answer = gr.Textbox(label='Answer', lines=4)
+    b1.click(fn = get_answer, inputs=question, outputs=answer)
+
+demo.launch()
+