Update app.py

app.py

@@ -36,10 +36,10 @@ model, preprocess = clip.load(clip_model)
 
 os.chdir("..")
 
-if not os.path.exists('/content/CLIP_vecs.npy'):
+if not os.path.exists('CLIP_vecs.npy'):
     os.system("gdown https://drive.google.com/u/0/uc?id=1R2Ra6Bf7IKwM2eZMKwFvyjkWRyOulQaP&export=download")
 
-if os.path.exists('/content/CLIP_vecs.npy'):
+if os.path.exists('CLIP_vecs.npy'):
     CLIP_vecs = torch.from_numpy(np.load('CLIP_vecs.npy'))
     seeded_z = torch.from_numpy(np.stack([np.random.RandomState(seed).randn(G.w_dim) for seed in range(CLIP_vecs.shape[0])]))