| |
| import gradio as gr |
| from typing import Type |
|
|
| from ..base import BaseUI |
|
|
|
|
| class Sample(BaseUI): |
|
|
| group = 'llm_sample' |
|
|
| locale_dict = { |
| 'sampler_type': { |
| 'label': { |
| 'zh': '采样类型', |
| 'en': 'Sampler type' |
| }, |
| }, |
| 'sampler_engine': { |
| 'label': { |
| 'zh': '推理引擎', |
| 'en': 'Infer engine' |
| }, |
| }, |
| 'num_return_sequences': { |
| 'label': { |
| 'zh': '采样返回的原始序列数量', |
| 'en': 'Num of original sequences returned by sampling' |
| }, |
| }, |
| 'n_best_to_keep': { |
| 'label': { |
| 'zh': '最佳序列数量', |
| 'en': 'Num of best sequences' |
| }, |
| }, |
| 'max_new_tokens': { |
| 'label': { |
| 'zh': '生成序列最大长度', |
| 'en': 'Max new tokens' |
| }, |
| }, |
| 'temperature': { |
| 'label': { |
| 'zh': '采样温度', |
| 'en': 'Temperature' |
| }, |
| }, |
| 'top_k': { |
| 'label': { |
| 'zh': 'Top-k', |
| 'en': 'Top-k' |
| }, |
| }, |
| 'top_p': { |
| 'label': { |
| 'zh': 'Top-p', |
| 'en': 'Top-p' |
| }, |
| }, |
| 'repetition_penalty': { |
| 'label': { |
| 'zh': '重复惩罚', |
| 'en': 'Repetition Penalty' |
| }, |
| }, |
| } |
|
|
| @classmethod |
| def do_build_ui(cls, base_tab: Type['BaseUI']): |
| with gr.Row(): |
| gr.Dropdown(elem_id='sampler_type', choices=['sample', 'distill'], value='sample', scale=5) |
| gr.Dropdown( |
| elem_id='sampler_engine', |
| choices=['transformers', 'lmdeploy', 'vllm', 'no', 'client'], |
| value='transformers', |
| scale=5) |
| gr.Slider(elem_id='num_return_sequences', minimum=1, maximum=128, step=1, value=64, scale=5) |
| gr.Slider(elem_id='n_best_to_keep', minimum=1, maximum=64, step=1, value=5, scale=5) |
| with gr.Row(): |
| gr.Textbox(elem_id='max_new_tokens', lines=1, value='2048') |
| gr.Slider(elem_id='temperature', minimum=0.0, maximum=10, step=0.1, value=1.0) |
| gr.Slider(elem_id='top_k', minimum=1, maximum=100, step=5, value=20) |
| gr.Slider(elem_id='top_p', minimum=0.0, maximum=1.0, step=0.05, value=0.7) |
| gr.Slider(elem_id='repetition_penalty', minimum=0.0, maximum=10, step=0.05, value=1.05) |
|
|
