Update app.py

app.py

@@ -1,13 +1,15 @@
 import gradio as gr
 import gc, copy, re
-from huggingface_hub import hf_hub_download
+import urllib.request
 from rwkv.model import RWKV
 from rwkv.utils import PIPELINE, PIPELINE_ARGS
 
 ctx_limit = 2048
 title = "RWKV-5-World-0.4B-v2-20231113-ctx4096.pth"
 
-model_path = hf_hub_download(repo_id="BlinkDL/rwkv-5-world", filename=f"{title}")
+url = f"https://huggingface.co/BlinkDL/rwkv-5-world/resolve/main/{title}"
+urllib.request.urlretrieve(url, title)
+
 model = RWKV(model=model_path, strategy='cpu bf16')
 pipeline = PIPELINE(model, "rwkv_vocab_v20230424")
 
@@ -110,7 +112,7 @@ def alternative(chatbot, history):
 with gr.Blocks(title=title) as demo:
     gr.HTML(f"<div style=\"text-align: center;\">\n<h1>🌍World - {title}</h1>\n</div>")
     with gr.Tab("Instruct mode"):
-        gr.Markdown(f"100% RNN RWKV-LM **trained on 100+ world languages**. Demo limited to ctxlen {ctx_limit}. Finetuned on alpaca, gpt4all, codealpaca and more. For best results, ** keep you prompt short and clear **.\n\nIf the generation gets stuck in the preprocessing stage after 10-20 seconds, there's a [connectivity issue with HuggingFace](https://discuss.huggingface.co/t/space-just-stopped-working-connectionerror/62935/13). Restarting the space will most likely result in the same runtime error.")
+        gr.Markdown(f"100% RNN RWKV-LM **trained on 100+ world languages**. Demo limited to ctxlen {ctx_limit}. Finetuned on alpaca, gpt4all, codealpaca and more. For best results, ** keep you prompt short and clear **.")
         with gr.Row():
             with gr.Column():
                 instruction = gr.Textbox(lines=2, label="Instruction", value='東京で訪れるべき素晴らしい場所とその紹介をいくつか挙げてください。')