import os import requests from uuid import uuid4 from PIL import Image import gradio as gr def gen_image(prompt: str): """generate the image from the chinese stable diffusion model of paddlenlp server Args: prompt (str): the source of the prompt """ if not prompt: return access_token = os.environ['token'] url = f"https://aip.baidubce.com/rpc/2.0/nlp-itec/poc/chinese_stable_diffusion?access_token={access_token}" content = requests.post(url, json={"text": prompt}).content cache_dir = 'images' os.makedirs(cache_dir, exist_ok=True) tempfile = os.path.join(cache_dir, f'{str(uuid4())}.png') with open(tempfile, 'wb') as f: f.write(content) image = Image.open(tempfile) os.remove(tempfile) return [image] def read_content(file_path: str) -> str: """read the content of target file """ with open(file_path, 'r', encoding='utf-8') as f: content = f.read() return content block = gr.Blocks(css=read_content('style.css')) examples = [ '贝尼·赖特森、丹·蒙福德、亚伦·霍尔基的黑白血腥维多利亚小镇夜景特写街景,恐怖,月亮升起,交叉阴影,高对比度,超精细,极简主义构图,4k', '马头雕塑插图印刷,超精细,丹·蒙福德,亚伦·霍基,高对比度,低聚合风格', '一只熊从篝火旁的冰箱里偷食物,黑白雕刻版画,交叉影线', '厚涂层油画《悲伤男孩的特写肖像》,本·科迪,希卡里·希莫达' ] with block: gr.HTML(read_content("header.html")) gr.Markdown("[![Stargazers repo roster for @PaddlePaddle/PaddleNLP](https://reporoster.com/stars/PaddlePaddle/PaddleNLP)](https://github.com/PaddlePaddle/PaddleNLP)") with gr.Group(): with gr.Box(): with gr.Row().style(mobile_collapse=False, equal_height=True): text = gr.Textbox( label="Prompt", show_label=False, max_lines=1, placeholder="输入中文,生成图片", ).style( border=(True, False, True, True), rounded=(True, False, False, True), container=False, ) btn = gr.Button("Generate image").style( margin=False, rounded=(False, True, True, False), ) gallery = gr.Gallery( label="Generated images", show_label=False, elem_id="gallery" ).style(grid=[1, 1], height="auto") gr.Examples(examples=examples, fn=gen_image, inputs=text, outputs=gallery) text.submit(gen_image, inputs=text, outputs=gallery) btn.click(gen_image, inputs=text, outputs=gallery) gr.Image('./paddlenlp-preview.jpeg') gr.HTML(read_content("footer.html")) block.queue(concurrency_count=5).launch(debug=True)