import gradio as gr

def greet(prompt, temperature, max_lenth, top_p):
    return f"Hello, world! {temperature}"

demo = gr.Interface(
    fn=greet,
    inputs=[gr.Textbox(placeholder = "Write a tagline for an ice cream shop.", label="prompt", lines=5),
            gr.Slider(value=1, minimum=0, maximum=2, label='temperature',
                      info='''Temperature controls the randomness of the text generation.
                      1.0 makes the model more likely to generate diverse and sometimes more unexpected outputs.
                      0.0 makes the model's responses more deterministic and predictable.'''),
            gr.Slider(value=16, minimum=1, maximum=256, step=1, label='max_lenth',
                      info='''Maximum number of tokens that the model will generate in the output.'''),
            gr.Slider(value=1, minimum=0, maximum=1, label='top_p',
                      info='''Top-p controls the model's focus during text generation. 
                      It allows only the most probable tokens to be considered for generation, where the cumulative probability of these tokens must exceed this value.''')
            ],
    outputs=[gr.Textbox(label='Output texts')],
)

demo.launch()