update

app.py

@@ -63,7 +63,7 @@ with demo:
         """ BigScienceW Bloom \n\n Large language models have demonstrated a capability of 'Chain-of-thought reasoning'. Some amazing researchers recently found out that by addding **Lets think step by step** it improves the model's zero-shot performance. Some might say — You can get good results out of LLMs if you know how to speak to them"""
         )
   with gr.Row():
-    example_prompt = gr.Radio( ["Q: A juggler can juggle 16 balls. Half of the balls are golf balls, and half of the golf balls are blue. How many blue golf balls are there?\nA: Let’s think step by step.\n"], label= "Choose a sample Prompt")
+    example_prompt = gr.Radio( ["Q: A juggler can juggle 16 balls. Half of the balls are golf balls, and half of the golf balls are blue. How many blue golf balls are there?\nA: Let’s think step by step.\n", "Q: Roger has 5 tennis balls. He buys 2 more cans of tennis balls. Each can has 3 tennis balls. How many tennis balls does he have now?\nA: Let’s think step by step.\n", "Q: On average Joe throws 25 punches per minute. A fight lasts 5 rounds of 3 minutes. How many punches did he throw?\nA: Let’s think step by step.\n"], label= "Choose a sample Prompt")
     #input_word = gr.Textbox(placeholder="Enter a word here to generate text ...")
     generated_txt = gr.Textbox(lines=7)