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import gradio as gr
from transformers import pipeline, set_seed
import random
generator = pipeline('text-generation', model='jslin09/bloom-560m-finetuned-fraud')
def rnd_generate(text):
rnd_seed = random.randint(10, 500)
set_seed(rnd_seed)
result = generator(text,
max_length=500,
num_return_sequences=1,
do_sample=True,
temperature=0.75,
top_k=50,
top_p=0.9)
return result[0]["generated_text"]
def generate(text):
set_seed(55)
result = generator(text,
max_length=500,
num_return_sequences=1,
do_sample=True,
temperature=0.75,
top_k=50,
top_p=0.9)
return result[0]["generated_text"]
examples = [
["闕很大明知金融帳戶之存摺、提款卡及密碼係供自己使用之重要理財工具,"],
["梅友乾明知其無資力支付酒店消費,亦無付款意願,竟意圖為自己不法之所有,"],
["王大明意圖為自己不法所有,基於竊盜之犯意,"],
["陳小智知悉吳良醫院可配合假病患製作不實之診斷證明書、病歷資料,以供渠等向保險公司詐領住院保險給付,即意圖為自己不法之所有,"]
]
with gr.Blocks() as demo:
gr.Markdown(
"""
<h1 style="text-align: center;">Legal Document Drafting</h1>
""")
with gr.Row():
with gr.Column():
prompt = gr.components.Textbox(lines=5, label="Input Prompt", placeholder=examples[0])
with gr.Row():
with gr.Column():
btn = gr.Button("Random Drafting")
with gr.Column():
btn2 = gr.Button("Drafting")
gr.Examples(examples, inputs=[prompt])
with gr.Column():
result = gr.components.Textbox(lines=15, label="Generative")
btn.click(rnd_generate, inputs=[prompt], outputs=[result])
btn2.click(generate, inputs=[prompt], outputs=[result])
if __name__ == "__main__":
demo.launch() # 在遠端啟動時,需要 share=True 。