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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( | |
""" | |
<div style="text-align: center; max-width: 650px; margin: 0 auto;"> | |
<div> | |
<h2 style="font-weight: 900; font-size: 3rem; margin-bottom:20px;"> | |
SD指令生成器. | |
</h2> | |
</div> | |
<p style="margin-bottom: 10px; font-size: 96%"> | |
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! | |
</p> | |
<p style="margin-bottom: 10px; font-size: 98%"> | |
❤️ 后台有上千个单词随机组合喔~ ❤️</a> | |
</p> | |
</div> | |
""" | |
) | |
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( | |
""" | |
<div class="footer"> | |
<p> Powered by <a href="https://huggingface.co/Gustavosta">Gustavosta</a> Stable Diffusion model | |
</p> | |
</div> | |
<div class="acknowledgments" style="font-size: 115%"> | |
<p> <a href="https://aihuman.life">AIHuman.Life</a>还有其他AI工具可以体验吼~ | |
</p> | |
</div> | |
""" | |
) | |
fn=generate, | |
run=generate, | |
inputs=txt, | |
outputs=out | |
demo.launch(enable_queue=False, inline=True) |