Update app.py

app.py

@@ -25,7 +25,8 @@ retriever = SentenceTransformer('all-MiniLM-L6-v2')
 # Specify file_name="model.onnx" to select the correct ONNX file
 model = ORTModelForQuestionAnswering.from_pretrained(
     "Xenova/distilbert-base-uncased-distilled-squad",
-    file_name="onnx/model.onnx"
+    file_name="onnx/model.onnx",
+    provider="CPUExecutionProvider"
 )
 tokenizer = AutoTokenizer.from_pretrained("Xenova/distilbert-base-uncased-distilled-squad")
 qa_model = pipeline("question-answering", model=model, tokenizer=tokenizer, framework="ort")