Update app.py

app.py

@@ -22,7 +22,7 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 print("Loading SNAC model...")
 snac = SNAC.from_pretrained("hubertsiuzdak/snac_24khz").to(device)
 
-model_name = "canopylabs/3b-de-pretrain-research_release"
+model_name = "SebastianBodza/Kartoffel_Orpheus-3B_german_natural-v0.1"
 # optional: explizites snapshot_download (entfernt große Dateien)
 
 snapshot_download(
@@ -108,7 +108,7 @@ async def tts_ws(ws: WebSocket):
             msg = await ws.receive_text()
             data  = json.loads(msg)
             text  = data.get("text", "")
-            voice = data.get("voice", "jana")
+            voice = data.get("voice", "Jakob")
 
             # 1) Prompt → Tokens
             ids, mask = process_prompt(text, voice)