Update model.py

model.py

@@ -588,7 +588,7 @@ def update_lr(lr):
 load_model_path='MELGANVC-0.4886211-0.5750153-0-20230612T163214Z-001\MELGANVC-0.4886211-0.5750153-0' #@param {type:"string"}
 #If load_model=True, specify the path where the models are saved
 
-gen,critic,siam, [opt_gen,opt_disc] = get_networks(shape, load_model=True,path=load_model_path)
+gen,critic,siam, [opt_gen,opt_disc] = get_networks(shape, load_model=True,path="MELGANVC-0.4886211-0.5750153-0")
 
 #After Training, use these functions to convert data with the generator and save the results