Update app.py

app.py

@@ -8,7 +8,7 @@ threshold = 0.75
 model = tf.saved_model.load("best_saved_model") #Loading the saved model
 
 def process_img(img): 
-    img = img.resize(640,640) # resize the image as reqired for the model input
+    img = img.resize((640,640)) # resize the image as reqired for the model input
     copy_img = img.copy()
     img = np.array(img/255)                    # Normalizing the picel value 
     img = img.astype("float32")      # Convert the format double to format float