app.py

from transformers import pipeline
import gradio as gr
import random
import string
import paddlehub as hub 
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
from loguru import logger

language_translation_model = hub.Module(directory=f'./baidu_translate')
def getTextTrans(text, source='zh', target='en'):
    def is_chinese(string):
        for ch in string:
            if u'\u4e00' <= ch <= u'\u9fff':
                return True
        return False
        
    if not is_chinese(text) and target == 'en': 
        return text
        
    try:
        text_translation = language_translation_model.translate(text, source, target)
        return text_translation
    except Exception as e:
        return text 
        
space_ids = {
            "spaces/stabilityai/stable-diffusion": "SD 2.1",
            "spaces/runwayml/stable-diffusion-v1-5": "SD 1.5",
            "spaces/stabilityai/stable-diffusion-1": "SD 1.0",
            "dalle_mini_tab": "Dalle mini",
            "spaces/IDEA-CCNL/Taiyi-Stable-Diffusion-Chinese": "Taiyi(太乙)",
            }

tab_actions = []
tab_titles = []

extend_prompt_1 = True
extend_prompt_2 = True
extend_prompt_3 = True

thanks_info = "Thanks: "
if extend_prompt_1:
    extend_prompt_pipe = pipeline('text-generation', model='yizhangliu/prompt-extend', max_length=77, pad_token_id=0)
    thanks_info += "[<a style='display:inline-block' href='https://huggingface.co/spaces/daspartho/prompt-extend' _blank><font style='color:blue;weight:bold;'>prompt-extend(1)</font></a>]"
if extend_prompt_2:
    def load_prompter():
      prompter_model = AutoModelForCausalLM.from_pretrained("microsoft/Promptist")
      tokenizer = AutoTokenizer.from_pretrained("gpt2")
      tokenizer.pad_token = tokenizer.eos_token
      tokenizer.padding_side = "left"
      return prompter_model, tokenizer
    prompter_model, prompter_tokenizer = load_prompter()
    def extend_prompt_microsoft(in_text):
        input_ids = prompter_tokenizer(in_text.strip()+" Rephrase:", return_tensors="pt").input_ids
        eos_id = prompter_tokenizer.eos_token_id 
        outputs = prompter_model.generate(input_ids, do_sample=False, max_new_tokens=75, num_beams=8, num_return_sequences=8, eos_token_id=eos_id, pad_token_id=eos_id, length_penalty=-1.0)
        output_texts = prompter_tokenizer.batch_decode(outputs, skip_special_tokens=True)
        res = output_texts[0].replace(in_text+" Rephrase:", "").strip()
        return res    
    thanks_info += "[<a style='display:inline-block' href='https://huggingface.co/spaces/microsoft/Promptist' _blank><font style='color:blue;weight:bold;'>Promptist(2)</font></a>]"
if extend_prompt_3:
    MagicPrompt = gr.Interface.load("spaces/Gustavosta/MagicPrompt-Stable-Diffusion")
    thanks_info += "[<a style='display:inline-block' href='https://huggingface.co/spaces/Gustavosta/MagicPrompt-Stable-Diffusion' _blank><font style='color:blue;weight:bold;'>MagicPrompt(3)</font></a>]"

do_dreamlike_photoreal = False
if do_dreamlike_photoreal:
    def add_random_noise(prompt, noise_level=0.1):
        # Get the percentage of characters to add as noise
        percentage_noise = noise_level * 5
        # Get the number of characters to add as noise
        num_noise_chars = int(len(prompt) * (percentage_noise/100))
        # Get the indices of the characters to add noise to
        noise_indices = random.sample(range(len(prompt)), num_noise_chars)
        # Add noise to the selected characters
        prompt_list = list(prompt)
        for index in noise_indices:
            prompt_list[index] = random.choice(string.ascii_letters + string.punctuation)
        new_prompt = "".join(prompt_list)
        return new_prompt
        
    dreamlike_photoreal_2_0 = gr.Interface.load("models/dreamlike-art/dreamlike-photoreal-2.0")
    dreamlike_image = gr.Image(label="Dreamlike Photoreal 2.0")

    tab_actions.append(dreamlike_image)
    tab_titles.append("Dreamlike_2.0")
    thanks_info += "[<a style='display:inline-block' href='https://huggingface.co/dreamlike-art/dreamlike-photoreal-2.0' _blank><font style='color:blue;weight:bold;'>dreamlike-photoreal-2.0</font></a>]"

for space_id in space_ids.keys():
    print(space_id, space_ids[space_id])
    try:
        tab_title = space_ids[space_id]
        tab_titles.append(tab_title)
        if (tab_title == 'Dalle mini'):
            tab_content = gr.Blocks(elem_id='dalle_mini')
            tab_actions.append(tab_content)            
        else:
            tab_content = gr.Interface.load(space_id)
            tab_actions.append(tab_content)
            thanks_info += f"[<a style='display:inline-block' href='https://huggingface.co/{space_id}' _blank><font style='color:blue;weight:bold;'>{tab_title}</font></a>]"
    except Exception as e:
        logger.info(f"load_fail__{space_id}_{e}")

start_work = """async() => {
    function isMobile() {
        try {
            document.createEvent("TouchEvent"); return true;
        } catch(e) {
            return false; 
        }
    }
	function getClientHeight()
	{
	  var clientHeight=0;
	  if(document.body.clientHeight&&document.documentElement.clientHeight) {
		var clientHeight = (document.body.clientHeight<document.documentElement.clientHeight)?document.body.clientHeight:document.documentElement.clientHeight;
	  } else {
		var clientHeight = (document.body.clientHeight>document.documentElement.clientHeight)?document.body.clientHeight:document.documentElement.clientHeight;
	  }
	  return clientHeight;
	}
 
    function setNativeValue(element, value) {
      const valueSetter = Object.getOwnPropertyDescriptor(element.__proto__, 'value').set;
      const prototype = Object.getPrototypeOf(element);
      const prototypeValueSetter = Object.getOwnPropertyDescriptor(prototype, 'value').set;
      
      if (valueSetter && valueSetter !== prototypeValueSetter) {
            prototypeValueSetter.call(element, value);
      } else {
            valueSetter.call(element, value);
      }
    }
    window['tab_advanced'] = 0;
    
    var gradioEl = document.querySelector('body > gradio-app').shadowRoot;
    if (!gradioEl) {
        gradioEl = document.querySelector('body > gradio-app');
    }
    
    if (typeof window['gradioEl'] === 'undefined') {
        window['gradioEl'] = gradioEl;
        tabitems = window['gradioEl'].querySelectorAll('.tabitem');
        tabitems_title = window['gradioEl'].querySelectorAll('#tab_demo')[0].children[0].children[0].children;
        window['dalle_mini_block'] = null;
        window['dalle_mini_iframe'] = null;
        for (var i = 0; i < tabitems.length; i++) {   
            if (tabitems_title[i].innerText.indexOf('SD') >= 0) {
                tabitems[i].childNodes[0].children[0].style.display='none';
                for (var j = 0; j < tabitems[i].childNodes[0].children[1].children.length; j++) {
                    if (j != 1) {
                        tabitems[i].childNodes[0].children[1].children[j].style.display='none';
                    }
                }
                if (tabitems_title[i].innerText.indexOf('SD 1') >= 0) {
                    for (var j = 0; j < 4; j++) {
                        tabitems[i].childNodes[0].children[1].children[3].children[1].children[j].children[2].removeAttribute("disabled");
                    }
                } else if (tabitems_title[i].innerText.indexOf('SD 2') >= 0) {
                    tabitems[i].children[0].children[1].children[3].children[0].click();
                }
            } else if (tabitems_title[i].innerText.indexOf('Taiyi') >= 0) {
                tabitems[i].children[0].children[0].children[1].style.display='none';
                tabitems[i].children[0].children[0].children[0].children[0].children[1].style.display='none';
            } else if (tabitems_title[i].innerText.indexOf('Dreamlike') >= 0) {
                tabitems[i].childNodes[0].children[0].children[1].style.display='none';
            } else if (tabitems_title[i].innerText.indexOf('Dalle mini') >= 0) {
                window['dalle_mini_block']=  tabitems[i];
            }
        }  
        
        tab_demo = window['gradioEl'].querySelectorAll('#tab_demo')[0];
        tab_demo.style.display = "block";
        tab_demo.setAttribute('style', 'height: 100%;');
        const page1 = window['gradioEl'].querySelectorAll('#page_1')[0];
        const page2 = window['gradioEl'].querySelectorAll('#page_2')[0];
        
        btns_1 = window['gradioEl'].querySelector('#input_col1_row3').children;
        btns_1_split = 100 / btns_1.length;
        for (var i = 0; i < btns_1.length; i++) {
            btns_1[i].setAttribute('style', 'min-width:0px;width:' + btns_1_split + '%;');
        }
        page1.style.display = "none";
        page2.style.display = "block";  
        prompt_work = window['gradioEl'].querySelectorAll('#prompt_work');
        for (var i = 0; i < prompt_work.length; i++) {
            prompt_work[i].style.display='none';
        }         
        
        window['prevPrompt'] = '';
        window['doCheckPrompt'] = 0;
        window['checkPrompt'] = function checkPrompt() {
            try {
                    prompt_work = window['gradioEl'].querySelectorAll('#prompt_work');
                    if (prompt_work.length > 0 && prompt_work[0].children.length > 1) {
                        prompt_work[0].children[1].style.display='none';
                        prompt_work[0].style.display='block';
                    }            
                    text_value = window['gradioEl'].querySelectorAll('#prompt_work')[0].querySelectorAll('textarea')[0].value;
                    progress_bar = window['gradioEl'].querySelectorAll('.progress-bar');
                    if (window['doCheckPrompt'] === 0 && window['prevPrompt'] !== text_value && progress_bar.length == 0) {
                            console.log('_____new prompt___[' + text_value + ']_');
                            window['doCheckPrompt'] = 1;
                            window['prevPrompt'] = text_value;
                            tabitems = window['gradioEl'].querySelectorAll('.tabitem');
                            for (var i = 0; i < tabitems.length; i++) {  
                                if (tabitems_title[i].innerText.indexOf('Dalle mini') >= 0) {
                                    if (window['dalle_mini_block']) {
                                        if (window['dalle_mini_iframe'] === null) {
                                            window['dalle_mini_iframe'] = document.createElement('iframe');                                                
                                            window['dalle_mini_iframe'].height = 1000;
                                            window['dalle_mini_iframe'].width = '100%';        
                                            window['dalle_mini_iframe'].id = 'dalle_iframe';   
                                            window['dalle_mini_block'].appendChild(window['dalle_mini_iframe']);
                                        } 
                                        window['dalle_mini_iframe'].src = 'https://yizhangliu-dalleclone.hf.space/index.html?prompt=' + encodeURI(text_value);
                                        console.log('dalle_mini');
                                    }    
                                    continue;
                                }
                                inputText = null;
                                if (tabitems_title[i].innerText.indexOf('SD') >= 0) {
                                    text_value = window['gradioEl'].querySelectorAll('#prompt_work')[0].querySelectorAll('textarea')[0].value;
                                    inputText = tabitems[i].children[0].children[1].children[0].querySelectorAll('.gr-text-input')[0];
                                } else if (tabitems_title[i].innerText.indexOf('Taiyi') >= 0) {
                                    text_value = window['gradioEl'].querySelectorAll('#prompt_work_zh')[0].querySelectorAll('textarea')[0].value;
                                    inputText = tabitems[i].children[0].children[0].children[1].querySelectorAll('.gr-text-input')[0];
                                }
                                if (inputText) {
                                    setNativeValue(inputText, text_value);
                                    inputText.dispatchEvent(new Event('input', { bubbles: true }));
                                }                                
                            }
                           
                            setTimeout(function() {
                                btns = window['gradioEl'].querySelectorAll('button');
                                for (var i = 0; i < btns.length; i++) {
                                    if (['Generate image','Run', '生成图像(Generate)'].includes(btns[i].innerText)) {
                                        btns[i].click();                
                                    }
                                }
                                window['doCheckPrompt'] = 0;
                            }, 10);                   
                    }
            } catch(e) {
            }        
        }
        window['checkPrompt_interval'] = window.setInterval("window.checkPrompt()", 100);         
    }
   
    return false;
}"""

switch_tab_advanced = """async() => {
    window['tab_advanced'] = 1 - window['tab_advanced'];
    if (window['tab_advanced']==0) {
        action = 'none';
    } else {
        action = 'block';
    }
    tabitems = window['gradioEl'].querySelectorAll('.tabitem');
    tabitems_title = window['gradioEl'].querySelectorAll('#tab_demo')[0].children[0].children[0].children;  
    for (var i = 0; i < tabitems.length; i++) {   
        if (tabitems_title[i].innerText.indexOf('SD') >= 0) {
            //tabitems[i].childNodes[0].children[1].children[0].style.display=action;
            //tabitems[i].childNodes[0].children[1].children[4].style.display=action;
            for (var j = 0; j < tabitems[i].childNodes[0].children[1].children.length; j++) {
                if (j != 1) {
                    tabitems[i].childNodes[0].children[1].children[j].style.display=action;
                }
            }            
        } else if (tabitems_title[i].innerText.indexOf('Taiyi') >= 0) {
            tabitems[i].children[0].children[0].children[1].style.display=action;
        }
    }
    return false;
}"""

def prompt_extend(prompt, PM):    
    prompt_en = getTextTrans(prompt, source='zh', target='en')
    if PM == 1:
        extend_prompt_en = extend_prompt_pipe(prompt_en+',', num_return_sequences=1)[0]["generated_text"]   
    elif PM == 2:
        extend_prompt_en = extend_prompt_microsoft(prompt_en)
    elif PM == 3:
        extend_prompt_en = MagicPrompt(prompt_en)        
        
    if (prompt != prompt_en):
        logger.info(f"extend_prompt__1_PM=[{PM}]_")
        extend_prompt_out = getTextTrans(extend_prompt_en, source='en', target='zh')
    else:
        logger.info(f"extend_prompt__2_PM=[{PM}]_")
        extend_prompt_out = extend_prompt_en

    return extend_prompt_out

def prompt_extend_1(prompt):  
    extend_prompt_out = prompt_extend(prompt, 1)
    return extend_prompt_out

def prompt_extend_2(prompt):  
    extend_prompt_out = prompt_extend(prompt, 2)
    return extend_prompt_out

def prompt_extend_3(prompt):  
    extend_prompt_out = prompt_extend(prompt, 3)
    return extend_prompt_out    

def prompt_draw_1(prompt, noise_level):
    prompt_en = getTextTrans(prompt, source='zh', target='en')
    if (prompt != prompt_en):
        logger.info(f"draw_prompt______1__")
        prompt_zh = prompt
    else:
        logger.info(f"draw_prompt______2__")
        prompt_zh = getTextTrans(prompt, source='en', target='zh')

    prompt_with_noise = add_random_noise(prompt_en, noise_level)
    dreamlike_output = dreamlike_photoreal_2_0(prompt_with_noise)
    return prompt_en, prompt_zh, dreamlike_output

def prompt_draw_2(prompt):
    prompt_en = getTextTrans(prompt, source='zh', target='en')
    if (prompt != prompt_en):
        logger.info(f"draw_prompt______1__")
        prompt_zh = prompt
    else:
        logger.info(f"draw_prompt______2__")
        prompt_zh = getTextTrans(prompt, source='en', target='zh')
    return prompt_en, prompt_zh

with gr.Blocks(title='Text-to-Image') as demo:
    with gr.Group(elem_id="page_1", visible=True) as page_1:
        with gr.Box():            
            with gr.Row():
                start_button = gr.Button("Let's GO!", elem_id="start-btn", visible=True)                 
                start_button.click(fn=None, inputs=[], outputs=[], _js=start_work)   
                
    with gr.Group(elem_id="page_2", visible=False) as page_2:
            with gr.Row(elem_id="prompt_row0"):
                with gr.Column(id="input_col1"):
                    with gr.Row(elem_id="input_col1_row1"):
                        prompt_input0 = gr.Textbox(lines=2, label="Original prompt", visible=True)
                    with gr.Row(elem_id="input_col1_row2"):
                        prompt_work = gr.Textbox(lines=1, label="prompt_work", elem_id="prompt_work", visible=True)                        
                    with gr.Row(elem_id="input_col1_row3"):
                        with gr.Column(elem_id="input_col1_row2_col0"):
                            draw_btn_0 = gr.Button(value = "Generate(original)", elem_id="draw-btn-0")
                        if extend_prompt_1:
                            with gr.Column(elem_id="input_col1_row2_col1"):
                                extend_btn_1 = gr.Button(value = "Extend_1",elem_id="extend-btn-1") 
                        if extend_prompt_2:
                            with gr.Column(elem_id="input_col1_row2_col2"):
                                extend_btn_2 = gr.Button(value = "Extend_2",elem_id="extend-btn-2")
                        if extend_prompt_3:                                
                            with gr.Column(elem_id="input_col1_row2_col3"):
                                extend_btn_3 = gr.Button(value = "Extend_3",elem_id="extend-btn-3") 
                with gr.Column(id="input_col2"):
                    prompt_input1 = gr.Textbox(lines=2, label="Extend prompt", visible=True)
                    draw_btn_1 = gr.Button(value = "Generate(extend)", elem_id="draw-btn-1")
            with gr.Row(elem_id="prompt_row1"):
                with gr.Column(id="input_col3"):
                    with gr.Row(elem_id="input_col3_row2"):
                        prompt_work_zh = gr.Textbox(lines=1, label="prompt_work_zh", elem_id="prompt_work_zh", visible=False)  
            with gr.Row(elem_id='tab_demo', visible=True).style(height=200):
                tab_demo = gr.TabbedInterface(tab_actions, tab_titles) 
            if do_dreamlike_photoreal:
                with gr.Row():
                    noise_level=gr.Slider(minimum=0.1, maximum=3, step=0.1, label="Dreamlike noise Level: [Higher noise level produces more diverse outputs, while lower noise level produces similar outputs.]")
            with gr.Row():                
                switch_tab_advanced_btn = gr.Button(value = "Switch_tab_advanced", elem_id="switch_tab_advanced_btn")
                switch_tab_advanced_btn.click(fn=None, inputs=[], outputs=[], _js=switch_tab_advanced)   
            with gr.Row():                
                gr.HTML(f"<p>{thanks_info}</p>") 

            if extend_prompt_1:
                extend_btn_1.click(fn=prompt_extend_1, inputs=[prompt_input0], outputs=[prompt_input1])
            if extend_prompt_2:
                extend_btn_2.click(fn=prompt_extend_2, inputs=[prompt_input0], outputs=[prompt_input1])
            if extend_prompt_3:                                
                extend_btn_3.click(fn=prompt_extend_3, inputs=[prompt_input0], outputs=[prompt_input1])

            if do_dreamlike_photoreal:
                draw_btn_0.click(fn=prompt_draw_1, inputs=[prompt_input0, noise_level], outputs=[prompt_work, prompt_work_zh, dreamlike_image])
                draw_btn_1.click(fn=prompt_draw_1, inputs=[prompt_input1, noise_level], outputs=[prompt_work, prompt_work_zh, dreamlike_image])
            else:
                draw_btn_0.click(fn=prompt_draw_2, inputs=[prompt_input0], outputs=[prompt_work, prompt_work_zh])
                draw_btn_1.click(fn=prompt_draw_2, inputs=[prompt_input1], outputs=[prompt_work, prompt_work_zh])                

demo.queue()
demo.launch()