Update app.py

app.py

@@ -17,7 +17,7 @@ model.classifier = nn.Sequential(
     nn.Dropout(0.4),
     nn.Linear(model.classifier[1].in_features, 7)  # num_classes = 7 (angry, disgust, fear, happy, neutral, sad, surprise)
 )
-model.load_state_dict(torch.load("D:/Dataset/MMAFEDB/best_mood_classifier.pth"))
+model.load_state_dict(torch.load("best_mood_classifier.pth"))
 model = model.to(device)
 model.eval()