app.py

import gradio as gr
import tempfile
import os

class SDXLGenerator:
    def generate_image(self, prompt):
        # Placeholder for image generation (e.g., returning a sample image or empty image)
        return "Placeholder for Generated Image"


class ControlNetProcessor:
    def controlnet_image(self, image):
        # Placeholder for ControlNet processing (e.g., returning a sample image or empty image)
        return "Placeholder for ControlNet Output Image"


class VideoGenerator:
    def generate_3d_video(self, controlled_image):
        # Placeholder: creating a dummy video for demonstration purposes.
        video_path = "generated_video.mp4"
        with tempfile.NamedTemporaryFile(delete=False, suffix='.mp4') as tmp:
            # Placeholder: creating a dummy video for demonstration purposes.
            os.system(f"ffmpeg -f lavfi -i color=c=blue:s=320x240:d=5 -vf drawtext=fontfile=/path/to/font.ttf:text='3D Model':fontsize=24:fontcolor=white:x=(w-text_w)/2:y=(h-text_h)/2 {tmp.name}")
            video_path = tmp.name
        return video_path


class GradioApp:
    def __init__(self):
        self.sdxl_generator = SDXLGenerator()
        self.controlnet_processor = ControlNetProcessor()
        self.video_generator = VideoGenerator()

    def full_pipeline(self, prompt):
        initial_image = self.sdxl_generator.generate_image(prompt)
        controlled_image = self.controlnet_processor.controlnet_image(initial_image)
        video_path = self.video_generator.generate_3d_video(controlled_image)
        return initial_image, controlled_image, video_path

    def launch(self):
        interface = gr.Interface(
            fn=self.full_pipeline,
            inputs=[gr.Textbox(label="Input Prompt")],
            outputs=[
                gr.Image(type="pil", label="Generated Image"),
                gr.Image(type="pil", label="ControlNet Output Image"),
                gr.Video(label="3D Model Video")
            ],
            title="SDXL to ControlNet to 3D Pipeline",
            description="Generate an image using SDXL, refine it with ControlNet, and generate a 3D video output."
        )
        interface.launch()


if __name__ == "__main__":
    app = GradioApp()
    app.launch()