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import gradio as gr | |
import paddlehub as hub | |
ernie_zeus = hub.Module(name='ernie_zeus') | |
def inference(task: str, | |
text: str, | |
min_dec_len: int = 2, | |
seq_len: int = 512, | |
topp: float = 0.9, | |
penalty_score: float = 1.0): | |
func = getattr(ernie_zeus, task) | |
try: | |
result = func(text, min_dec_len, seq_len, topp, penalty_score) | |
return result | |
except Exception as error: | |
return str(error) | |
title = "ERNIE-Zeus" | |
description = "ERNIE-Zeus model, which supports Chinese text generates task." | |
css = """ | |
.gradio-container { | |
font-family: 'IBM Plex Sans', sans-serif; | |
} | |
.gr-button { | |
color: white; | |
border-color: black; | |
background: black; | |
} | |
input[type='range'] { | |
accent-color: black; | |
} | |
.dark input[type='range'] { | |
accent-color: #dfdfdf; | |
} | |
.container { | |
max-width: 730px; | |
margin: auto; | |
padding-top: 1.5rem; | |
} | |
.details:hover { | |
text-decoration: underline; | |
} | |
.gr-button { | |
white-space: nowrap; | |
} | |
.gr-button:focus { | |
border-color: rgb(147 197 253 / var(--tw-border-opacity)); | |
outline: none; | |
box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000); | |
--tw-border-opacity: 1; | |
--tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color); | |
--tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(3px var(--tw-ring-offset-width)) var(--tw-ring-color); | |
--tw-ring-color: rgb(191 219 254 / var(--tw-ring-opacity)); | |
--tw-ring-opacity: .5; | |
} | |
.footer { | |
margin-bottom: 45px; | |
margin-top: 35px; | |
text-align: center; | |
border-bottom: 1px solid #e5e5e5; | |
} | |
.footer>p { | |
font-size: .8rem; | |
display: inline-block; | |
padding: 0 10px; | |
transform: translateY(10px); | |
background: white; | |
} | |
.dark .footer { | |
border-color: #303030; | |
} | |
.dark .footer>p { | |
background: #0b0f19; | |
} | |
.prompt h4{ | |
margin: 1.25em 0 .25em 0; | |
font-weight: bold; | |
font-size: 115%; | |
} | |
""" | |
block = gr.Blocks(css=css) | |
examples = [ | |
[ | |
'text_summarization', | |
'外媒7月18日报道,阿联酋政府当日证实该国将建设首个核电站,以应对不断上涨的用电需求。分析称阿联酋作为世界第三大石油出口国,更愿意将该能源用于出口,而非发电。首座核反应堆预计在2017年运行。cntv李婉然编译报道', | |
4, 512, 0.3, 1.0 | |
], | |
[ | |
'copywriting_generation', | |
'芍药香氛的沐浴乳', | |
8, 512, 0.9, 1.2 | |
], | |
[ | |
'novel_continuation', | |
'昆仑山可以说是天下龙脉的根源,所有的山脉都可以看作是昆仑的分支。这些分出来的枝枝杈杈,都可以看作是一条条独立的龙脉。', | |
2, 512, 0.9, 1.2 | |
], | |
[ | |
'answer_generation', | |
'做生意的基本原则是什么?', | |
2, 512, 0.5, 1.2 | |
], | |
[ | |
'couplet_continuation', | |
'天增岁月人增寿', | |
2, 512, 1.0, 1.0 | |
], | |
[ | |
'composition_generation', | |
'拔河比赛', | |
128, 512, 0.9, 1.2 | |
], | |
[ | |
'text_cloze', | |
'她有着一双[MASK]的眼眸。', | |
1, 512, 0.3, 1.2 | |
], | |
] | |
with block: | |
gr.HTML( | |
""" | |
<div style="text-align: center; max-width: 650px; margin: 0 auto;"> | |
<div | |
style=" | |
display: inline-flex; | |
align-items: center; | |
gap: 0.8rem; | |
font-size: 1.75rem; | |
margin-bottom: 10px; | |
justify-content: center; | |
" | |
> | |
<img src="https://user-images.githubusercontent.com/22424850/187387422-f6c9ccab-7fda-416e-a24d-7d6084c46f67.jpg" alt="Paddlehub" width="40%"> | |
</div> | |
<div | |
style=" | |
display: inline-flex; | |
align-items: center; | |
gap: 0.8rem; | |
font-size: 1.75rem; | |
margin-bottom: 10px; | |
justify-content: center; | |
"> | |
<h1 style="font-weight: 900; margin-bottom: 7px;"> | |
ERNIE-Zeus Demo | |
</h1> | |
</div> | |
<p style="margin-bottom: 10px; font-size: 94%"> | |
ERNIE-Zeus is a state-of-the-art Chinese text generates model. | |
</p> | |
</div> | |
""" | |
) | |
with gr.Blocks(): | |
text = gr.Textbox( | |
label="input_text", | |
placeholder="Please enter Chinese text.", | |
) | |
task = gr.Dropdown(label="task", | |
choices=[ | |
'text_summarization', | |
'copywriting_generation', | |
'novel_continuation', | |
'answer_generation', | |
'couplet_continuation', | |
'composition_generation', | |
'text_cloze' | |
], | |
value='text_summarization') | |
min_dec_len = gr.Slider( | |
minimum=1, maximum=511, value=1, label="min_dec_len", step=1, interactive=True) | |
seq_len = gr.Slider(minimum=2, maximum=512, value=128, | |
label="seq_len", step=1, interactive=True) | |
topp = gr.Slider(minimum=0.0, maximum=1.0, value=1.0, | |
label="topp", step=0.01, interactive=True) | |
penalty_score = gr.Slider( | |
minimum=1.0, maximum=2.0, value=1.0, label="penalty_score", step=0.01, interactive=True) | |
text_gen = gr.Textbox(label="generated_text") | |
btn = gr.Button(value="Generate text") | |
ex = gr.Examples(examples=examples, fn=inference, inputs=[ | |
task, text, min_dec_len, seq_len, topp, penalty_score], outputs=text_gen, cache_examples=False) | |
text.submit(inference, inputs=[ | |
task, text, min_dec_len, seq_len, topp, penalty_score], outputs=text_gen) | |
btn.click(inference, inputs=[ | |
task, text, min_dec_len, seq_len, topp, penalty_score], outputs=text_gen) | |
gr.Markdown( | |
''' | |
## More | |
* There are more interesting models in [PaddleHub](https://github.com/PaddlePaddle/PaddleHub), you can star [PaddleHub](https://github.com/PaddlePaddle/PaddleHub) to follow. | |
* Besides, you can use free GPU resourses in [AIStudio](https://aistudio.baidu.com/aistudio/projectdetail/4462918) to enjoy more cases, have fun. | |
[![](https://user-images.githubusercontent.com/22424850/187849103-074cb6d2-a9b4-49a1-b1f0-fc130049769f.png)](https://github.com/PaddlePaddle/PaddleHub/stargazers) | |
''' | |
) | |
gr.HTML( | |
""" | |
<div class="footer"> | |
<p>Model by <a href="https://github.com/PaddlePaddle/PaddleHub" style="text-decoration: underline;" target="_blank">PaddleHub</a> and <a href="https://wenxin.baidu.com" style="text-decoration: underline;" target="_blank">文心大模型</a> - Gradio Demo by 🤗 Hugging Face | |
</p> | |
</div> | |
""" | |
) | |
block.queue(max_size=100000, concurrency_count=100000).launch() | |