import gradio as gr
import subprocess


def generate_text(length, prefix, temperature,topk,topp,rep):
    # 构建命令行参数
    my_prefix = "--prefix=" + prefix + ","
    args = ["python", "generate.py", f"--length={int(length)}", f"--nsamples=1", f"--prefix={prefix}", f"--temperature={temperature}",f"--batch_size=1",f"--topk={int(topk)}",f"--topp={topp}",f"--repetition_penalty={rep}","--fast_pattern","--tokenizer_path=./vocab.txt","--model_config=./config.json"]
    
    # 执行命令并获取输出
    process = subprocess.Popen(args, stdout=subprocess.PIPE)
    output, error = process.communicate()
    output = output.decode("utf-8")
    
    return output

input_length = gr.Slider(label="生成文本长度", minimum=10, maximum=500, value=500,step=10)
input_prefix = gr.Textbox(label="起始文本")
input_temperature = gr.Slider(label="生成温度", minimum=0, maximum=2, value=1, step=0.01)
#input_batchsize = gr.Slider(label="生成的batch size", minimum=1, maximum=1, value=1,step=1)
input_topk = gr.Slider(label="最高几选一", minimum=1, maximum=48, value=32, step=1)
input_topp = gr.Slider(label="最高积累概率", minimum=0, maximum=1, value=0,step=0.01)
input_repeat_penality = gr.Slider(label="重复罚值", minimum=0, maximum=15, value=10,step=0.01)

output_text = gr.Textbox(label="生成的文本")

title = "GPT2中文文本生成器"
description = "cpu推理约1s/字，温度太低基本是无意义字符"

gr.Interface(fn=generate_text, inputs=[input_length, input_prefix, input_temperature,input_topk,input_topp,input_repeat_penality], outputs=output_text, title=title, description=description).launch()