updated app.py

app.py

@@ -6,9 +6,9 @@ from src.models import ResUNetGenerator
 from src.explainer import GradCAM, preprocess_image
 
 # Loading Models
-classifier_path = 'models\efficientnet_b1-epoch16-val_loss0.46_ft.ckpt'
-g_NP_checkpoint = 'models\g_NP_best.ckpt'
-g_PN_checkpoint = 'models\g_PN_best.ckpt'
+classifier_path = './models/efficientnet_b1-epoch16-val_loss0.46_ft.ckpt'
+g_NP_checkpoint = './models/g_NP_best.ckpt'
+g_PN_checkpoint = './models/g_PN_best.ckpt'
 g_NP = load_model(g_NP_checkpoint, ResUNetGenerator(gf=32, channels=1))
 g_PN = load_model(g_PN_checkpoint, ResUNetGenerator(gf=32, channels=1))
 classifier = load_classifier(classifier_path)