app.py

import gradio as gr
from gradio_client import Client
import requests
from deep_translator import GoogleTranslator
from langdetect import detect
import re

MORE = """ ## TRY Other Models
        ### JARVIS: Your VOICE Assistant -> https://huggingface.co/spaces/KingNish/JARVIS
        ### Instant Image: 4k images in 5 Second -> https://huggingface.co/spaces/KingNish/Instant-Image
        """

# Gradio Client
client = Client("KingNish/Instant-Video")

# Function
def generate_image(prompt, base="Anime", motion="", step=8, progress=gr.Progress()):

    language = detect(prompt)
    
    if language != 'en':
        prompt = GoogleTranslator(source=language, target='en').translate(prompt)
    
    try:
        result = client.predict(
            prompt=prompt,
            base=base,
            motion=motion,
            step=step,
            api_name="/instant_video"
        )
        video_path = result["video"]
        return video_path
    except Exception as e:
        error_message = str(e)
        match = re.search(r'You have exceeded your GPU quota \((\d+:\d+:\d+) left vs. \d+s requested\). Please retry in (\d+:\d+:\d+)\.', error_message)
        if match:
            wait_time = match.group(2)
            raise gr.Error(f"У модели сработало ограничение (Слишком часто), попробуйте ещё раз в *время: {wait_time}*")
        else:
            raise gr.Error(f"Произошла ошибка при подключении к API: {error_message}. Повторите попытку позже или обратитесь к администраторам Neurix.")

# Ссылка на файл CSS
css_url = "https://neurixyufi-aihub.static.hf.space/style.css"

# Получение CSS по ссылке
response = requests.get(css_url)
css = response.text
    
# Gradio Interface
with gr.Blocks(css=css) as demo:
    gr.HTML(
        """
        <script>
          var head = document.getElementsByTagName('head')[0];
          var link = document.createElement('link');
          link.rel = 'stylesheet';
          link.type = 'text/css';
          link.href = 'style.css';
          head.appendChild(link);
        </script>
        """
    )
    with gr.Column():
        with gr.Row():
            prompt = gr.Textbox(
                label='Описание', placeholder='Фокус: Играющие дети (Сезон: Зима)'
            )
        with gr.Row():
            select_base = gr.Dropdown(
                label='Стиль',
                choices=[
                    "Cartoon", 
                    "Realistic",
                    "3d",
                    "Anime",
                ],
                value="3d",
                interactive=True
            )
            select_motion = gr.Dropdown(
                label='Движение',
                choices=[
                    ("По умолчанию", ""),
                    ("Приближение", "guoyww/animatediff-motion-lora-zoom-in"),
                    ("Отдаление", "guoyww/animatediff-motion-lora-zoom-out"),
                    ("Наклон вверх", "guoyww/animatediff-motion-lora-tilt-up"),
                    ("Наклон вниз", "guoyww/animatediff-motion-lora-tilt-down"),
                    ("Панорама влево", "guoyww/animatediff-motion-lora-pan-left"),
                    ("Панорама вправо", "guoyww/animatediff-motion-lora-pan-right"),
                    ("Поворот влево", "guoyww/animatediff-motion-lora-rolling-anticlockwise"),
                    ("Поворот вправо", "guoyww/animatediff-motion-lora-rolling-clockwise"),
                ],
                value="",
                interactive=True
            )
            select_step = gr.Dropdown(
                label='Шаги вывода (Качество)',
                choices=[
                    ('1-Step', 1), 
                    ('2-Step', 2),
                    ('4-Step', 4),
                    ('8-Step', 8),
                ],
                value=4,
                interactive=True
            )
        with gr.Row():
            submit = gr.Button("Создать", variant='primary')
    video = gr.Video(
        label='Созданое видео',
        autoplay=True,
        height=512,
        width=512,
        elem_id="video_output"
    )

    prompt.submit(
        fn=generate_image,
        inputs=[prompt, select_base, select_motion, select_step],
        outputs=video,
    )
    submit.click(
        fn=generate_image,
        inputs=[prompt, select_base, select_motion, select_step],
        outputs=video,
    )

demo.queue(max_size=250).launch(show_api=False, share=False)