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import os
os.system("pip install huggingface_hub")
from huggingface_hub import space_info
from summary_reverse_pred_native import *
import gradio as gr
#import os
text0 = "飓风格特是1993年9月在墨西哥和整个中美洲引发严重洪灾的大规模热带气旋,源于9月14日西南加勒比海上空一股东风波。次日从尼加拉瓜登岸,经过洪都拉斯后于9月17日在洪都拉斯湾再次达到热带风暴标准,但次日进入伯利兹上空后就减弱成热带低气压。穿过尤卡坦半岛后,在9月20日强化成二级飓风,从韦拉克鲁斯州的图斯潘附近登陆墨西哥。9月21日从纳亚里特州进入太平洋时已降级成热带低气压,最终于5天后在开放水域上空消散。"
text1 = "珊瑚坝是长江中的一处河漫滩,位于长江重庆市渝中区区段主航道左侧[1],靠近渝中半岛,原分属重庆市市中区菜园坝街道和石板坡街道[2],现属渝中区菜园坝街道石板坡社区[3],是长江上游缓冲地段自然冲积沙洲,略呈纺锤形[4]或椭圆形,长约1800米,宽约600米,坝上遍布鹅卵石和水草。每年夏季洪水时均被淹没,其余时间常露水面,枯水期则与长江左岸相连[5]。"
example_sample = [
[text0, False],
[text1, False],
]
def demo_func(prefix, do_sample):
l = simple_pred(prefix, do_sample = do_sample)
return {
"Dialogue Context": l
}
markdown_exp_size = "##"
lora_repo = "svjack/chatglm3-few-shot"
lora_repo_link = "svjack/chatglm3-few-shot/?input_list_index=7"
emoji_info = space_info(lora_repo).__dict__["cardData"]["emoji"]
space_cnt = 1
task_name = "[---Chinese Context Dialogue Generator---]"
description = f"{markdown_exp_size} {task_name} few shot prompt in ChatGLM3 Few Shot space repo (click submit to activate) : [{lora_repo_link}](https://huggingface.co/spaces/{lora_repo_link}) {emoji_info}"
demo = gr.Interface(
fn=demo_func,
inputs=[gr.Text(label = "Context"),
gr.Checkbox(label="do sample"),
],
outputs="json",
title=f"Chinese Context Dialogue Generator 🐰 demonstration",
description = 'This _example_ was **drive** from <br/><b><h4>[https://github.com/svjack/Context2Dialogue](https://github.com/svjack/Context2Dialogue)</h4></b>\n',
#description = description,
examples=example_sample if example_sample else None,
cache_examples = False
)
with demo:
gr.HTML(
'''
<div style="justify-content: center; display: flex;">
<iframe
src="https://svjack-chatglm3-few-shot-demo.hf.space/?input_list_index=7"
frameborder="0"
width="1400"
height="768"
></iframe>
</div>
'''
)
demo.launch(server_name=None, server_port=None)
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