Update app.py

app.py

@@ -151,13 +151,16 @@ class SkinViT(nn.Module):
 #multilabel_model = torch.load("D:/DR/RAG/BestModels2703/skin_vit_fold10.pth", map_location='cpu')
 #multiclass_model = torch.load("D:/DR/RAG/BestModels2703/best_dermnet_vit.pth", map_location='cpu')
 
-# Download the full model from your Hugging Face repo
-multilabel_model_path = hf_hub_download(repo_id="santhoshraghu/DermBOT", filename="skin_vit_fold10.pth")
-multiclass_model_path = hf_hub_download(repo_id="santhoshraghu/DermBOT", filename="best_dermnet_vit.pth")
+# Download state_dicts from Hugging Face Hub
+multilabel_model_path = hf_hub_download(repo_id="santhoshraghu/DermBOT", filename="skin_vit_fold10_sd.pth")
+multiclass_model_path = hf_hub_download(repo_id="santhoshraghu/DermBOT", filename="best_dermnet_vit_sd.pth")
 
-# Load the models from local path
-multilabel_model = torch.load(multilabel_model_path, map_location="cpu")
-multiclass_model = torch.load(multiclass_model_path, map_location="cpu")
+# Load models
+multilabel_model = SkinViT(num_classes=len(multilabel_class_names))
+multiclass_model = SkinViT(num_classes=len(multiclass_class_names))
+
+multilabel_model.load_state_dict(torch.load(multilabel_model_path, map_location="cpu"))
+multiclass_model.load_state_dict(torch.load(multiclass_model_path, map_location="cpu"))
 
 multilabel_model.eval()
 multiclass_model.eval()