Update app.py

app.py

@@ -84,24 +84,24 @@ def evaluate(
     yield out_str.strip()
 
 examples = [
-    [generate_prompt("Tell me about ravens."), 500, 1, 0.5, 0.4, 0.4],
-    [generate_prompt("Write a python function to mine 1 BTC."), 500, 1, 0.5, 0.4, 0.4],
-    [generate_prompt("Write a song about ravens."), 500, 1, 0.5, 0.4, 0.4],
-    [generate_prompt("Write a story using the following information", "A man named Alex chops a tree down"), 500, 1, 0.5, 0.4, 0.4],
-    [generate_prompt("Generate a list of adjectives that describe a person as brave."), 500, 1, 0.5, 0.4, 0.4],
-    [generate_prompt("You have $100, and your goal is to turn that into as much money as possible with AI and Machine Learning. Please respond with detailed plan."), 500, 1, 0.5, 0.4, 0.4],
+    [generate_prompt("Tell me about ravens."), 400, 1, 0.5, 0.4, 0.4],
+    [generate_prompt("Écrivez un programme Python pour miner 1 Bitcoin."), 400, 1, 0.5, 0.4, 0.4],
+    [generate_prompt("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。"), 400, 1, 0.5, 0.4, 0.4],
+    [generate_prompt("Write a story using the following information", "A man named Alex chops a tree down"), 400, 1, 0.5, 0.4, 0.4],
+    [generate_prompt("Generate a list of adjectives that describe a person as brave."), 400, 1, 0.5, 0.4, 0.4],
+    [generate_prompt("You have $100, and your goal is to turn that into as much money as possible with AI and Machine Learning. Please respond with detailed plan."), 400, 1, 0.5, 0.4, 0.4],
 ]
 
 ##########################################################################
 
 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("Free Generation"):
-        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.Tab("Raw Generation"):
+        gr.Markdown(f"This is [RWKV-5 World v2](https://huggingface.co/BlinkDL/rwkv-5-world) with 1.5B params - a 100% attention-free RNN [RWKV-LM](https://github.com/BlinkDL/RWKV-LM). *** Please try examples first (bottom of page) *** (edit them to use your question). Demo limited to ctxlen {ctx_limit}.")
         with gr.Row():
             with gr.Column():
                 prompt = gr.Textbox(lines=2, label="Prompt", value=generate_prompt("Tell me about ravens."))
-                token_count = gr.Slider(10, 500, label="Max Tokens", step=10, value=500)
+                token_count = gr.Slider(10, 400, label="Max Tokens", step=10, value=400)
                 temperature = gr.Slider(0.2, 2.0, label="Temperature", step=0.1, value=1.0)
                 top_p = gr.Slider(0.0, 1.0, label="Top P", step=0.05, value=0.5)
                 presence_penalty = gr.Slider(0.0, 1.0, label="Presence Penalty", step=0.1, value=0.4)
@@ -110,7 +110,7 @@ with gr.Blocks(title=title) as demo:
                 with gr.Row():
                     submit = gr.Button("Submit", variant="primary")
                     clear = gr.Button("Clear", variant="secondary")
-                output = gr.Textbox(label="Output", lines=20)
+                output = gr.Textbox(label="Output", lines=23)
         data = gr.Dataset(components=[prompt, token_count, temperature, top_p, presence_penalty, count_penalty], samples=examples, label="Example Instructions", headers=["Prompt", "Max Tokens", "Temperature", "Top P", "Presence Penalty", "Count Penalty"])
         submit.click(evaluate, [prompt, token_count, temperature, top_p, presence_penalty, count_penalty], [output])
         clear.click(lambda: None, [], [output])