Update app.py

app.py

@@ -3,9 +3,19 @@ import fastapi
 import numpy as np
 from PIL import Image
 
+class TorchTensor(torch.Tensor):
+    pass
+
+class Prediction:
+    prediction: TorchTensor
+
 app = fastapi.FastAPI(docs_url="/")
+from transformers import ViTForImageClassification
+
+# Define the number of classes in your custom dataset
+num_classes = 20
 
-# Load your pre-trained model and other necessary components here
+# Initialize the ViTForImageClassification model
 model = ViTForImageClassification.from_pretrained(
     'google/vit-base-patch16-224-in21k',
     num_labels=num_classes  # Specify the number of classes