| 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() |