Update app.py

app.py

@@ -30,13 +30,13 @@ with open(diffusion_config, 'r') as fp:
 
 v_prediction = diff_config["ddim"]["v_prediction"]
 
-# clapmodel = ClapModel.from_pretrained("laion/larger_clap_general").to(device)
 processor = AutoProcessor.from_pretrained('laion/larger_clap_general')
 clap_config = ClapConfig.from_pretrained("laion/larger_clap_general")
 clapmodel = ClapModel(config)
 clap_ckpt = torch.load(clap_bin_path, map_location='cpu')
 clapmodel.load_state_dict(clap_ckpt)
 clapmodel.to(device)
+# clapmodel = ClapModel.from_pretrained("laion/larger_clap_general").to(device)
 
 autoencoder = Autoencoder(autoencoder_path, 'stable_vae', quantization_first=True)
 autoencoder.eval()