Update app.py

app.py

@@ -6,13 +6,17 @@ from torchvision import models
 import gradio as gr
 from rembg import remove  # Background removal
 from transformers import pipeline  # For non-mushroom detection
+from torchvision.models import ResNet50_Weights
 
 # 🔧 Set device
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
 # 📦 Load your fine-tuned model
-model = models.resnet50(pretrained=False)
-model.fc = torch.nn.Linear(model.fc.in_features, 2)  # 2 classes: Edible, Poisonous
+model = models.resnet50(weights=None)  # No pretrained weights
+model.fc = torch.nn.Sequential(
+    torch.nn.Dropout(0.5),
+    torch.nn.Linear(model.fc.in_features, 2)
+)
 model.load_state_dict(torch.load("resnet_mushroom_classifier.pth", map_location=device))
 model = model.to(device)
 model.eval()