import gradio as gr
import os 
import sys
from pathlib import Path
       
models = [
    "Yntec/photoMovieRealistic",
    "Yntec/a-ZovyaRPGV3VAE",
    "Yntec/a-ZoviaRPGArtistV2VAE",
    "Yntec/InsaneRealisticCVAE",
    "Yntec/Lunar",
    "Yntec/LunarLuma",
    "Yntec/QToriReloaded",
    "Yntec/Ninja-Diffusers",
    "Yntec/ChildrenStoriesAnime",
    "Yntec/DucHaitenAnime768",
    "Yntec/DucHaitenClassicAnime768",
    "Yntec/WesternAnimation",
    "Yntec/GOLDFish",
    "Yntec/Rainbowsphere",
    "Yntec/DreamAnything",
    "Yntec/yabalMixTrue25D_v2_VAE",
    "dreamlike-art/dreamlike-anime-1.0",
    "Yntec/DucHaiten-Retro-Diffusers",
    "Hemlok/QuinceMix",
    "Yntec/KIDSILLUSTRATIONS",
    "Yntec/COOLKIDSV2",
    "Yntec/Pavo-Mix-Diffusers",
    "Yntec/DucHaitenAIart-beta",
    "Ojimi/anime-kawai-diffusion",
    "LottePeisch/RevAnimated-Diffusers",
    "Linaqruf/animagine-xl",
    "Envvi/Inkpunk-Diffusion",
    "Birchlabs/waifu-diffusion-xl-unofficial",
    "digiplay/KawaiiRealisticAnimeMix_A0.3",
    "digiplay/AI-infinity-V1-fp16",
    "Yntec/photoMovieX",
    "Yntec/OrangeRemix",
    "digiplay/majicMIX_realistic_v6",
    "digiplay/LuckyStrikeMix1.05_Lovelylady",
]
current_model = models[0]

text_gen1=gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion_link")

models2=[
    gr.Interface.load(f"models/{models[0]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[1]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[2]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[3]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[4]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[5]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[6]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[7]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[8]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[9]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[10]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[11]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[12]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[13]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[14]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[15]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[16]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[17]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[18]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[19]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[20]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[21]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[22]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[23]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[24]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[25]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[26]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[27]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[28]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[29]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[30]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[31]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[32]}",live=True,preprocess=False),
    gr.Interface.load(f"models/{models[33]}",live=True,preprocess=False),
]

   
def text_it1(inputs,text_gen1=text_gen1):
        go_t1=text_gen1(inputs)
        return(go_t1)

def set_model(current_model):
    current_model = models[current_model]
    return gr.update(label=(f"{current_model}"))


def send_it1(inputs, model_choice):
        proc1=models2[model_choice]
        output1=proc1(inputs)
        return(output1)
css=""""""


with gr.Blocks(css=css) as myface:
    gr.HTML()
    with gr.Row():
        with gr.Tab("说明"):
                gr.HTML("""    <title>多模型加速生成</title><div style="text-align: center; max-width: 1500px; margin: 0 auto;">
                <h1>输入文字生成图像</h1>
                <br><h4>第一次导入模型可能需要200秒生成</h4>
                <br><h4>之后一般只需20秒左右</h4>""") 
        with gr.Tab("内置模型解释"):
                gr.HTML("""    <title>在内置模型中生成图片可能出现的问题</title><div style="text-align: center; max-width: 1500px; margin: 0 auto;">
                <h4>1. 使用Envvi/Inkpunk-Diffusion时，需要在提示词中加上“nvinkpunk”</h4>
                <h4>2. 使用digiplay/majicMIX_realistic_v6时，在提示词中加上“HI-RES”效果更好</h4>""")
    with gr.Row():
        with gr.Column(scale=100):
            magic1=gr.Textbox(label="输入提示词：", lines=4, placeholder = "英文")
            run=gr.Button("生成图像")
    with gr.Row():
        with gr.Column(scale=100):  
            model_name1 = gr.Dropdown(label="选择模型", choices=[m for m in models], type="index", value=current_model, interactive=True)
    with gr.Row():
        with gr.Column(style="width=800px"):
            output1=gr.Image(label=(f"{current_model}"))
                
            
    with gr.Row():
        with gr.Column(scale=50):
            gr.HTML("""<h1>没有想法？</h1>""")  
            input_text=gr.Textbox(label="输入提示词点子：",lines=2, placeholder = "英文")
            use_short=gr.Button("使用精简提示词（使用框中提示词）")
            see_prompts=gr.Button("扩充框内提示词")
                
     
    def short_prompt(inputs):
        return(inputs)
    
    model_name1.change(set_model,inputs=model_name1,outputs=[output1])
    
    run.click(send_it1, inputs=[magic1, model_name1], outputs=[output1])
    
    use_short.click(short_prompt,inputs=[input_text],outputs=magic1)
    
    see_prompts.click(text_it1,inputs=[input_text],outputs=magic1)
    
myface.queue(concurrency_count=200)
myface.launch(inline=True, show_api=False, max_threads=400)