Update app.py

app.py

@@ -17,7 +17,7 @@ model = RWKV(model=model_path, strategy='cuda fp16')
 from rwkv.utils import PIPELINE, PIPELINE_ARGS
 pipeline = PIPELINE(model, "rwkv_vocab_v20230424")
 
-def generate_prompt(instruction, input=None):
+def generate_prompt(instruction, input=""):
     instruction = instruction.strip().replace('\r\n','\n').replace('\n\n','\n')
     input = input.strip().replace('\r\n','\n').replace('\n\n','\n')
     if input:
@@ -97,7 +97,7 @@ examples = [
 with gr.Blocks(title=title) as demo:
     gr.HTML(f"<div style=\"text-align: center;\">\n<h1>RWKV-5 World v2 - {title}</h1>\n</div>")
     with gr.Tab("Instruct mode"):
-        gr.Markdown(f"This is a ***1.5B*** [RWKV-5 World v2](https://huggingface.co/BlinkDL/rwkv-5-world), which is 100% RNN [RWKV-LM](https://github.com/BlinkDL/RWKV-LM) and attention-free. *** Please try examples first (bottom of page) *** (edit them to use your question). Demo limited to ctxlen {ctx_limit}. For best results, *** keep you prompt short and clear ***.")
+        gr.Markdown(f"This is a ***1.5B*** (!!!) [RWKV-5 World v2](https://huggingface.co/BlinkDL/rwkv-5-world), which is 100% RNN [RWKV-LM](https://github.com/BlinkDL/RWKV-LM) and attention-free. *** Please try examples first (bottom of page) *** (edit them to use your question). Demo limited to ctxlen {ctx_limit}. For best results, *** keep you prompt short and clear ***.")
         with gr.Row():
             with gr.Column():
                 instruction = gr.Textbox(lines=2, label="Prompt", value=generate_prompt("Tell me about ravens."))