app.py

import gradio as gr
from transformers import pipeline, set_seed
import random

generator = pipeline('text-generation', model='jslin09/bloom-560m-finetuned-fraud')

def 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"]

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，"],
    ["森上梅前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，"]
]

with gr.Blocks() as demo:
    gr.Markdown(
    """
    # <p style="text-align: center;">Legal Document Drafting</p>
    """)
    with gr.Row():
        with gr.Column():
            prompt = gr.components.Textbox(lines=5, label="輸入提示文字", placeholder=examples[0])
            btn = gr.Button("生成草稿")
            gr.Examples(examples, inputs=[prompt])
        with gr.Column():    
            result = gr.components.Textbox(label="生成的草稿")
        btn.click(generate, inputs=[prompt], outputs=[result])

if __name__ == "__main__":
    demo.launch() # 在遠端啟動時，需要 share=True 。