Update filepath

pipeline/morph_pipeline_successed_ver1.py

@@ -1140,7 +1140,7 @@ class AudioLDM2MorphPipeline(DiffusionPipeline,TextualInversionLoaderMixin):
                 else:
                     attn_procs[name] = AttnProcessor2_0()
 
-        state_dict = torch.load('/Data/home/Dennis/DeepMIR-2024/Final_Project/AP-adapter/pytorch_model.bin', map_location="cuda")
+        state_dict = torch.load(adapter_weight, map_location="cuda")
         for name, processor in attn_procs.items():
             if hasattr(processor, 'to_v_ip') or hasattr(processor, 'to_k_ip'):
                 weight_name_v = name + ".to_v_ip.weight"