Update app.py

app.py

@@ -12,7 +12,7 @@ from snac import SNAC
 # -----------------------------
 MODEL_NAME = "rahul7star/nava1.0"
 LORA_NAME = "rahul7star/nava-audio"
-SEQ_LEN = 2048
+SEQ_LEN = 24000
 TARGET_SR = 24000
 OUT_ROOT = Path("/tmp/data")
 OUT_ROOT.mkdir(parents=True, exist_ok=True)
@@ -92,7 +92,7 @@ def generate_audio_cpu_lora(text: str):
             l3.extend([(slots[2]-128266)%4096, (slots[3]-128266)%4096, (slots[5]-128266)%4096, (slots[6]-128266)%4096])
        
        
-        snac_model = SNAC.from_pretrained("hubertsiuzdak/snac_24khz").eval().to(DEVICE_CPU)
+        snac_model = SNAC.from_pretrained("rahul7star/nava-snac").eval().to(DEVICE_CPU)
         codes_tensor = [torch.tensor(level, dtype=torch.long, device=DEVICE_CPU).unsqueeze(0) for level in [l1,l2,l3]]
         with torch.inference_mode():
             z_q = snac_model.quantizer.from_codes(codes_tensor)