Create model.py

model.py

@@ -0,0 +1,11 @@
+import onnxruntime as ort
+import numpy as np
+
+class Model:
+    def __init__(self):
+        self.session = ort.InferenceSession("mnist_cnn.onnx")
+
+    def predict(self, inputs):
+        inputs = np.array(inputs).astype(np.float32).reshape(1, 28, 28, 1)
+        outputs = self.session.run(None, {"input": inputs})
+        return {"digit": int(np.argmax(outputs[0])), "confidence_scores": outputs[0].tolist()}