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):
    seed = random.randint(10, 500)
    set_seed(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，"]
]

demo = gr.Interface(
    fn=generate,
    title="Legal Document Drafting",
    inputs=gr.inputs.Textbox(lines=5, label="輸入提示文字"),
    outputs=gr.outputs.Textbox(label="生成的文本"),
    examples=examples
)

demo.launch()