Update app.py

app.py

@@ -4,7 +4,7 @@ import tempfile
 import torch
 from torchvision import transforms
 from mtcnn import MTCNN
-from skimage import hog
+from skimage.feature import hog
 import pickle
 import torch.nn as nn
 from torchvision.models import resnet50
@@ -79,9 +79,9 @@ def verify(img1, img2, model_type):
         #         st.write(f"Confidence: {prediction.item():.4f}")
 
         if model_type == "HOG-SVM":
-            with open('svm_model.pkl', 'rb') as f:
+            with open('svm.pkl', 'rb') as f:
                 svm = pickle.load(f)
-            with open('pca_model.pkl', 'rb') as f:
+            with open('pca.pkl', 'rb') as f:
                 pca = pickle.load(f)
                 
             face1 = preprocess_image_svm(face1)