Update app.py

app.py

@@ -25,17 +25,17 @@ pipeline = PIPELINE(model, "rwkv_vocab_v20230424")
 
 args = model.args
 eng_name = 'rwkv6-world-v3-7b-eng_QA-20241114-ctx2048'
-eng_file = hf_hub_download(repo_id="BlinkDL/temp-latest-training-models", filename=f"states/{eng_name}.pth")
+eng_file = hf_hub_download(repo_id="BlinkDL/rwkv-6-misc", filename=f"states/{eng_name}.pth")
 state_eng_raw = torch.load(eng_file)
 state_eng = [None] * args.n_layer * 3
 
 chn_name = 'rwkv6-world-v3-7b-chn_问答QA-20241114-ctx2048'
-chn_file = hf_hub_download(repo_id="BlinkDL/temp-latest-training-models", filename=f"states/{chn_name}.pth")
+chn_file = hf_hub_download(repo_id="BlinkDL/rwkv-6-misc", filename=f"states/{chn_name}.pth")
 state_chn_raw = torch.load(chn_file)
 state_chn = [None] * args.n_layer * 3
 
 wyw_name = 'rwkv6-world-v3-7b-chn_文言文QA-20241114-ctx2048'
-wyw_file = hf_hub_download(repo_id="BlinkDL/temp-latest-training-models", filename=f"states/{wyw_name}.pth")
+wyw_file = hf_hub_download(repo_id="BlinkDL/rwkv-6-misc", filename=f"states/{wyw_name}.pth")
 state_wyw_raw = torch.load(wyw_file)
 state_wyw = [None] * args.n_layer * 3