app.py

import gradio as gr
from gradio_client import Client
import os

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()):
    try:
        result = client.predict(
            prompt=prompt,
            base=base,
            motion=motion,
            step=step,
            api_name="/generate_image_1"
        )
        video_path = result["video"]
        return video_path
    except ValueError as e:
        # Handle GPU quota exceeded error
        if 'You have exceeded your GPU quota' in str(e):
            raise gr.Error("GPU Quota exceeded. Please try again later.")
        else:
            raise gr.Error(str(e))

# Gradio Interface
with gr.Blocks(css="style.css") as demo:
    
    with gr.Group():
        with gr.Row():
            prompt = gr.Textbox(
                label='Описание'
            )
        with gr.Row():
            select_base = gr.Dropdown(
                label='Стиль',
                choices=[
                    "Cartoon", 
                    "Realistic",
                    "3d",
                    "Anime",
                ],
                value="Anime",
                interactive=True
            )
            select_motion = gr.Dropdown(
                label='Движение',
                choices=[
                    ("Default", ""),
                    ("Zoom in", "guoyww/animatediff-motion-lora-zoom-in"),
                    ("Zoom out", "guoyww/animatediff-motion-lora-zoom-out"),
                    ("Tilt up", "guoyww/animatediff-motion-lora-tilt-up"),
                    ("Tilt down", "guoyww/animatediff-motion-lora-tilt-down"),
                    ("Pan left", "guoyww/animatediff-motion-lora-pan-left"),
                    ("Pan right", "guoyww/animatediff-motion-lora-pan-right"),
                    ("Roll left", "guoyww/animatediff-motion-lora-rolling-anticlockwise"),
                    ("Roll right", "guoyww/animatediff-motion-lora-rolling-clockwise"),
                ],
                value="",
                interactive=True
            )
            select_step = gr.Dropdown(
                label='Шаги вывода',
                choices=[
                    ('1-Step', 1), 
                    ('2-Step', 2),
                    ('4-Step', 4),
                    ('8-Step', 8),
                    ('8-Step', 10),
                    ('8-Step', 12),
                ],
                value=4,
                interactive=True
            )
            submit = gr.Button(
                scale=1,
                variant='primary'
            )
    video = gr.Video(
        label='Сгенерированое 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,
    )

    gr.Examples(
        examples=[
        ["Focus: Eiffel Tower (Animate: Clouds moving)"], #Atmosphere Movement Example
        ["Focus: Trees In forest (Animate: Lion running)"], #Object Movement Example
        ["Focus: Astronaut in Space"], #Normal
        ["Focus: Group of Birds in sky (Animate:  Birds Moving) (Shot From distance)"], #Camera distance
        ["Focus:  Statue of liberty (Shot from Drone) (Animate: Drone coming toward statue)"], #Camera Movement
        ["Focus: Panda in Forest (Animate: Drinking Tea)"], #Doing Something
        ["Focus: Kids Playing (Season: Winter)"], #Atmosphere or Season
        {"Focus: Cars in Street (Season: Rain, Daytime) (Shot from Distance) (Movement: Cars running)"} #Mixture
    ], 
        fn=generate_image,
        inputs=[prompt],
        outputs=video,
        cache_examples=True,
)

demo.queue(max_size=50).launch()