Update app.py

app.py

@@ -24,7 +24,7 @@ snac = SNAC.from_pretrained("hubertsiuzdak/snac_24khz").to(device)
 
 model_name = "canopylabs/3b-de-pretrain-research_release"
 # optional: explizites snapshot_download (entfernt große Dateien)
-'''
+
 snapshot_download(
     repo_id=model_name,
     allow_patterns=["config.json", "*.safetensors", "model.safetensors.index.json"],
@@ -34,7 +34,7 @@ snapshot_download(
         "special_tokens_map.json", "vocab.json", "merges.txt", "tokenizer.*"
     ]
 )
-'''
+
 print("Loading Orpheus model...")
 model = AutoModelForCausalLM.from_pretrained(
     model_name, torch_dtype=torch.bfloat16