Update app.py

app.py

@@ -85,7 +85,7 @@ def infer(image_path, prompt, orbit_type, progress=gr.Progress(track_tqdm=True))
     # Generate a timestamp for adapter_name
     adapter_timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
 
-    pipe.load_lora_weights(lora_path, weight_name=weight_name, adapter_name=f"adapter_name_{adapter_timestamp}")
+    pipe.load_lora_weights(lora_path, weight_name=weight_name)
     pipe.fuse_lora(lora_scale=1 / lora_rank)
     pipe.to("cuda")