Update app.py

app.py

@@ -50,7 +50,7 @@ def predict(img) -> Tuple[Dict, float]:
     img1 = effnetb2_transforms(img).unsqueeze(0)
     pix = normalize_2d(np.array(img))
 
-    pix1=model.predict(img, confidence=40, overlap=30)
+    pix1=model.predict(str(img), confidence=40, overlap=30)
 
     
     # Put model into evaluation mode and turn on inference mode