from transformers import pipeline, set_seed import gradio as grad, random, re import os import sys gpt2_pipe = pipeline('text-generation', model='Gustavosta/MagicPrompt-Stable-Diffusion', tokenizer='gpt2') def generate(starting_text): with open("ideas.txt", "r") as f: line = f.readlines() seed = random.randint(100, 1000000) set_seed(seed) if starting_text == "": starting_text: str = line[random.randrange(0, len(line))].replace("\n", "").capitalize() starting_text: str = re.sub(r"\.", '', starting_text) response = gpt2_pipe(starting_text, max_length=(len(starting_text) + random.randint(60, 80)), num_return_sequences=1) response_list = [] for x in response: resp = x['generated_text'].strip() if resp != starting_text and len(resp) > (len(starting_text) + 4) and resp.endswith((":", "-", "—")) is False: response_list.append(resp) response_end = "\n".join(response_list) response_end = re.sub('[^ ]+\.[^ ]+','', response_end) response_end = response_end.replace("<", "").replace(">", "") if response_end != "": return response_end with grad.Blocks(css='style.css') as demo: grad.HTML( """

SD指令生成器.

输入一个英文单词,然后戳【咒语显现】按钮~ 不知道输入什么?直接戳!

❤️ 后台有上千个单词随机组合喔~ ❤️

""" ) with grad.Column(elem_id="col-container"): with grad.Row(variant="compact"): txt = grad.Textbox( label="Initial Text", show_label=False, max_lines=1, placeholder="输入一两个英语单词", ).style( container=False, ) run = grad.Button("✨ 咒语显现 ✨").style(full_width=False) with grad.Row(variant="compact"): out = grad.Textbox( label="Generated Text", show_label=False, lines=5, ).style( container=False, ) run.click(generate, inputs=[txt], outputs=[out]) with grad.Row(): grad.HTML( """

AIHuman.Life还有其他AI工具可以体验吼~

""" ) fn=generate, run=generate, inputs=txt, outputs=out demo.launch(enable_queue=False, inline=True)