recorrect onnx to device

mmxai/onnx/onnxModel.py

@@ -118,7 +118,7 @@ class ONNXInterface:
 			
 			if self.defaultmodel == None:
 				self.defaultmodel = MMBT.from_pretrained("mmbt.hateful_memes.images")
-			logits = self.defaultmodel.classify(image_path, text_input, image_tensor=torch.squeeze(image_tensor, 0))
+			logits = self.defaultmodel.classify(image, text_input, image_tensor=torch.squeeze(image_tensor.to("cuda"), 0))
 			print("The output of model is invalid, here use default output instead")
 
 		scores = nn.functional.softmax(torch.tensor(logits), dim=1)