Update app.py

app.py

@@ -49,8 +49,6 @@ def predict(
     with torch.no_grad():
         if im_emb == None:
             im_emb = torch.zeros(1, 1280, dtype=torch.float16, device='cuda')
-        else:
-            im_emb = torch.tensor([float(i) for i in im_emb.split(', ')]).unsqueeze(0).to(dtype=torch.float16).to('cuda')
         image = pipe(
             prompt=prompt,
             ip_adapter_emb=im_emb,