import gradio as gr
import torch
import ldm.models.ddpm as ddpm
from ldm.util import instantiate_from_config

class VideoGenerator:
    def __init__(self, model_path, config_path):
        self.model = instantiate_from_config(config_path)
        self.model.load_state_dict(torch.load(model_path))
    
    def generate_video(self, prompt, num_frames=100, fps=30):
        # Здесь происходит вызов модели для генерации видео
        # Примерный код для генерации видео с использованием LDM
        video = []
        for i in range(num_frames):
            frame = self.model.generate(prompt)
            video.append(frame)
        
        return video

model_path = 'path/to/your/model.pt'
config_path = 'path/to/your/config.yaml'
video_generator = VideoGenerator(model_path, config_path)

def generate_video_interface(prompt, num_frames, fps):
    video = video_generator.generate_video(prompt, int(num_frames), int(fps))
    return video

iface = gr.Interface(
    fn=generate_video_interface,
    inputs=[
        gr.Textbox(label="Prompt"),
        gr.Slider(minimum=10, maximum=300, step=10, label="Number of Frames"),
        gr.Slider(minimum=10, maximum=60, step=10, label="FPS")
    ],
    outputs=[gr.Video(label="Generated Video")],
    title="Video Generator with Luma Dream Machine",
    description="Generate videos using the power of deep learning."
)

if __name__ == "__main__":
    iface.launch()