Update app.py

app.py

@@ -8,7 +8,7 @@ import io
 # Load pre-trained ResNet50 model
 model = resnet50(pretrained=True)
 model.fc = torch.nn.Linear(model.fc.in_features, 2)  # 2 classes: bullish and bearish
-model.load_state_dict(torch.load('path_to_your_trained_model.pth'))
+model.load_state_dict(torch.load('/Users/kaylahoffman/Desktop/full_model.h5'))
 model.eval()
 
 # Define image transformation