import os import re import random import numpy as np # !!! spaces must be imported before torch/CUDA import spaces from huggingface_hub import login from diffusers import DiffusionPipeline import gradio as gr import torch from utils import QPipeline device = "cuda" if torch.cuda.is_available() else "cpu" login(token=os.environ["HF_TOKEN"]) model_repo_id = os.environ["MODEL_ID"] torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32 pipe = QPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype).to(device) MAX_SEED = 65535 MAX_IMAGE_SIZE = 128 @spaces.GPU # Enable ZeroGPU if needed def infer( prompt, negative_prompt, seed, randomize_seed, num_inference_steps=10, progress=gr.Progress(track_tqdm=True), ): if randomize_seed: seed = random.randint(0, MAX_SEED) generator = torch.Generator().manual_seed(seed) image = pipe( [prompt], batch_size=1, generator=generator, num_inference_steps=num_inference_steps ).images[0] return image, seed examples = [ "Structure: (LR 文 英). Style: style001", "Structure: (TL 广 東). Style: style028", "Structure: (TB 艹 (LR 禾 魚)). Style: style015", "Structure: (TB 敬 音). Style: style013", "Structure: (LR 釒 馬). Style: style018", "Structure: (BL 走 羽). Style: style022", "Structure: (LR 羊 大). Style: style005", "Structure: (LR 鹿 孚). Style: style017", "Structure: (OI 口 也). Style: style002", ] # Map style images to style names (use real image files later) style_options = { "images/style001.png": "style001", "images/style002.png": "style002", "images/style003.png": "style003", "images/style004.png": "style004", "images/style005.png": "style005", "images/style006.png": "style006", "images/style007.png": "style007", "images/style008.png": "style008", "images/style009.png": "style009", "images/style010.png": "style010", "images/style011.png": "style011", "images/style012.png": "style012", "images/style013.png": "style013", "images/style014.png": "style014", "images/style015.png": "style015", # "images/style016.png": "style016", very similar to 002 "images/style017.png": "style017", "images/style018.png": "style018", "images/style019.png": "style019", "images/style020.png": "style020", "images/style021.png": "style021", "images/style022.png": "style022", "images/style023.png": "style023", "images/style024.png": "style024", "images/style025.png": "style025", "images/style026.png": "style026", "images/style027.png": "style027", "images/style028.png": "style028", "images/style029.png": "style029", } def apply_style_on_click(evt: gr.SelectData, prompt_text): index = evt.index style_label = list(style_options.values())[index] if re.search(r"Style: [^\n]+", prompt_text): return re.sub(r"Style: [^\n]+", f"Style: {style_label}", prompt_text) else: return prompt_text.strip() + f" Style: {style_label}" # CSS for fixing Gallery layout css = """ #col-container { margin: 0 auto; max-width: 800px; } .center-text { text-align: center; } .radical-section { max-width: 400px; margin: 10px auto; text-align: center; } .radical-buttons { display: flex; flex-wrap: wrap; justify-content: center; gap: 8px; margin-bottom: 10px; } .radical-buttons button { padding: 8px 10px; font-size: 10px; border-radius: 50%; border: 2px solid #aaa; background: radial-gradient(circle at top left, #f5f5dc, #dcdcc4); cursor: pointer; box-shadow: 2px 2px 5px rgba(0,0,0,0.3), inset 0 1px 2px rgba(255,255,255,0.8); transition: transform 0.1s ease-in-out; } .radical-buttons button:active { transform: scale(0.95); } .radical-buttons button.dim { opacity: 0.25; filter: grayscale(100%); } .radical-token { display: inline-block; margin: 2px; padding: 6px 10px; border: 1px solid var(--border-color-primary); border-radius: 8px; /* show text cursor so users know they can select */ cursor: text; } #pinyin-display { text-align: center; margin: 20px; font-size: 18px; font-weight: bold; color: #555; font-family: monospace; } """ A_ALL = [ "氵","木","扌","釒","口","亻","女","忄","糹","言","虫","土","火","月","王","石", "魚","钅","⻊","衤","山","犭","目","日","馬","禾","讠","纟","阝","車","礻","米", "酉","飠","鱼","革","舟","巾","貝","彳","牛","耳","歹","冫","马","饣","骨","车", "弓","齒","立","豸","白","田","角","身","贝","耒","黑","⺶","鼠","豕","韋","鳥", "缶","片","麥","牜","谷","香","子","舌","矢","鼻","羽","爿","方","音","赤","齿", "又","青","镸","血","高","夕","句","豆","工","雚","至","束","吉","矛","龺","文", "令","合","鬲", "艹","⺮","宀","⻗","穴","髟","罒","一","大","人","辟","冖","敝","此","⺈","亦", "敖","亠","䜌","林","丿","龹","丷","折","非","敄","次","龍","⺷","爫","加","臤", "⺊","分","般","殹","丶","厶","亡","奴","殸","執","秋","夂","十","代","覀","不", "龶","二","水","尚","比","夗","沙","列","执","其","斬","鼓","吅","小","龸","今", "天","將","自","八","士","丆","亼","父","與","任","耂","臼","龙","壯","如","巩", "敬","埶","畾","賏","玨", "囗","又","卩","井" ] B_ALL = [ "鳥","阝","刂","頁","力","欠","鸟","攵","見","隹","皮","页","令","各","斤","且", "殳","瓦","台","句","分","羽","戈","占","干","夋","召","包","交","合","卑","肖", "青","者","乚","甫","毛","勺","可","今","奇","犮","周","扁","需","堯","兼","屯", "兆","昷","果","枼","翏","丁","艮","氐","并","同","卒","是","昜","單","圭","昆", "曷","票","蒦","俞","乞","吉","良","它","乍","炎","至","軍","粦","番","也","亢", "巨","失","其","旁","亥","反","余","工","少","方","古","由","喬","尞","龍","襄", "皇","非","及", "心","土","木","虫","女","皿","金","日","火","口","灬","貝","手","山","衣","一", "贝","石","言","糸","月","巾","乙","儿","目","大","子","田","力","水","廾","几", "馬","耳","牛","米","寸","毛","小","足","魚","八","示","玉","厶","又","夕","巴", "食","马","犬","弓","刀","瓦","用","肉","王","黽","人","二","夂","电","旦","云", "辰","立","車","且","鹿","缶","乂","匕","可","氺","共","天","叱","卯","豆","林", "羽","酉","角","革","異","鱼","丁","⺀","朩","龰","卜","丂", "丶","儿","厶","才","寸","屯","亢","不","云","勿","元","化","仑","古","民","台", "冬","豕","甫","吾","侖","卷","或","韋","巻","尃","書","專","睘","韦","禾","正", "有","员","幸","耑","袁","玉","貟","員","盍","啚","貴","睪","欒" ] def make_button_grid(items): # Wrap buttons in a container with your old CSS classes buttons = "\n".join( f"{c}" for c in items ) return f"
{buttons}
" with gr.Blocks(css=css) as demo: with gr.Row(): with gr.Column(elem_id="radicals-a", scale=1, min_width=0): gr.Markdown("For hard-to-input radicals, copy from below", elem_classes="center-text") gr.Markdown("(Left/Top/Outer)", elem_classes="center-text") gr.HTML(make_button_grid(A_ALL)) with gr.Column(elem_id="col-container", scale=0, min_width=800): gr.Markdown(" # NeoChar ") gr.Markdown(""" - Generate New Chineses Characters (Hanzi/Kanji) - Combine components in a creative way - Write them in style - A Gen-AI's implementation of [Lin Yutang's Ming-Kwai Typewriter](https://thereader.mitpress.mit.edu/the-uncanny-keyboard/) - [README](https://huggingface.co/spaces/lqume/neochar/blob/main/README.md) for more""") gr.Markdown(" ## QuickStart: select an example, edit components, pick a style, then 'generate'") gr.HTML(""" """) gallery = gr.Gallery( value=list(style_options.keys()), label="Click any image", columns=7, allow_preview=False, height=None, elem_classes=["gallery-container"] ) with gr.Row(): prompt = gr.Text( label="Prompt", show_label=False, max_lines=1, placeholder="Enter your prompt", container=False, ) run_button = gr.Button("Generate", scale=0, variant="primary") gallery.select( fn=apply_style_on_click, inputs=[prompt], outputs=prompt ) result = gr.Image(label="Result", show_label=False) with gr.Accordion("Advanced Settings", open=False): negative_prompt = gr.Text( label="Negative prompt", max_lines=1, placeholder="Enter a negative prompt", visible=False, ) seed = gr.Slider( label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0, ) randomize_seed = gr.Checkbox(label="Randomize seed", value=True) with gr.Row(): num_inference_steps = gr.Slider( label="Number of inference steps", minimum=1, maximum=20, step=1, value=10, ) gr.Examples(examples=examples, inputs=[prompt]) with gr.Column(elem_id="radicals-b", scale=1, min_width=0): gr.Markdown("For hard-to-input radicals, copy from below", elem_classes="center-text") gr.Markdown("(Right/Bottom/Inner)", elem_classes="center-text") gr.HTML(make_button_grid(B_ALL)) gr.on( triggers=[run_button.click, prompt.submit], fn=infer, inputs=[ prompt, negative_prompt, seed, randomize_seed, num_inference_steps, ], outputs=[result, seed], ) if __name__ == "__main__": demo.launch()