1

app.py

@@ -34,13 +34,13 @@ A: Let’s think step by step.
 def text_generate(prompt):
   
   #prints for debug
-  print(f"*****Inside poem_generate - Prompt is :{prompt}")
+  print(f"*****Inside text_generate function - Prompt is :{prompt}")
   json_ = {"inputs": prompt,
             "parameters":
             {
             "top_p": 0.9,
           "temperature": 1.1,
-          #"max_new_tokens": 250,
+          "max_new_tokens": 250,
           "return_full_text": True
           }}
   response = requests.post(API_URL, headers=headers, json=json_)
@@ -63,7 +63,7 @@ with demo:
         """ [BigScienceW Bloom](https://twitter.com/BigscienceW) \n\n Large language models have demonstrated a capability of 'Chain-of-thought reasoning'. Some amazing researchers( [Jason Wei et al.](https://arxiv.org/abs/2206.07682)) 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", "Q: Roger has 5 tennis balls already. 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 an average Joe throws 25 punches per minute. His fight lasts 5 rounds of 3 minutes each. How many punches did he throw?\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 already. 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 an average Joe throws 25 punches per minute. His fight lasts 5 rounds of 3 minutes each. How many punches did he throw?\nA:  Let’s think about this logically.\n"], label= "Choose a sample Prompt")
     #input_word = gr.Textbox(placeholder="Enter a word here to generate text ...")
     generated_txt = gr.Textbox(lines=7)