Update app.py

app.py

@@ -233,10 +233,10 @@ def load_model():
     device = "cuda" if torch.cuda.is_available() else "cpu"
     print(f"Loading FWKV-ROSA from Hub on {device} ...")
     try:
-        model = FWKVLanguageModel.from_pretrained("FlameF0X/FWKV-ROSA")
+        model = FWKVLanguageModel.from_pretrained("FWKV/FWKV-ROSA")
         model = model.to(device)
         model.eval()
-        tokenizer = AutoTokenizer.from_pretrained("FlameF0X/FWKV-ROSA")
+        tokenizer = AutoTokenizer.from_pretrained("FWKV/FWKV-ROSA")
         status = "FWKV-ROSA chat model ready!"
     except Exception as e:
         model, tokenizer = None, None
@@ -388,7 +388,7 @@ def chat_function(message, history):
 with gr.Blocks(theme=gr.themes.Soft()) as demo:
     gr.Markdown(f"""
     # ⚡ FWKV-ROSA Chat
-    **Model:** [FlameF0X/FWKV-ROSA](https://huggingface.co/FlameF0X/FWKV-ROSA)
+    **Model:** [FKWV/FWKV-ROSA](https://huggingface.co/FWKV/FWKV-ROSA)
     *{load_status}*
 
     This is a 56M‑parameter recurrent LM trained with the RWKV‑8 ROSA