app.py

import gradio as gr
import argparse
import os

from musepose_inference import MusePoseInference
from pose_align import PoseAlignmentInference
from downloading_weights import download_models


class App:
    def __init__(self, args):
        self.args = args
        self.pose_alignment_infer = PoseAlignmentInference(
            model_dir=args.model_dir,
            output_dir=args.output_dir
        )
        self.musepose_infer = MusePoseInference(
            model_dir=args.model_dir,
            output_dir=args.output_dir
        )
        if not args.disable_model_download_at_start:
            download_models(model_dir=args.model_dir)

    @staticmethod
    def on_step1_complete(input_img: str, input_pose_vid: str):

        return [gr.Image(label="Input Image", value=input_img, type="filepath", scale=5),
                gr.Video(label="Input Aligned Pose Video", value=input_pose_vid, scale=5)]

def musepose_demo(self):
    with gr.Blocks() as demo:
        md_header = self.header()
        with gr.Tabs():
            with gr.TabItem('1: Pose Alignment'):
                with gr.Row():
                    with gr.Column(scale=3):
                        img_pose_input = gr.Image(label="Input Image", type="filepath", scale=5)
                        vid_dance_input = gr.Video(label="Input Dance Video", max_length=10, scale=5)  # Changed max_length to 10
                    with gr.Column(scale=3):
                        vid_dance_output = gr.Video(label="Aligned Pose Output", scale=5, interactive=False)
                        vid_dance_output_demo = gr.Video(label="Aligned Pose Output Demo", scale=5)
                    # rest of the column setup remains the same
                    with gr.Column(scale=3):
                        # column settings remain the same

                # button settings and event handlers remain the same

            with gr.TabItem('2: MusePose Inference'):
                with gr.Row():
                    with gr.Column(scale=3):
                        img_musepose_input = gr.Image(label="Input Image", type="filepath", scale=5)
                        vid_pose_input = gr.Video(label="Input Aligned Pose Video", max_length=10, scale=5)  # Changed max_length to 10
                    with gr.Column(scale=3):
                        vid_output = gr.Video(label="MusePose Output", scale=5)
                        vid_output_demo = gr.Video(label="MusePose Output Demo", scale=5)

                    # rest of the settings remains the same

            # Event handler and button settings remain unchanged

    return demo

@staticmethod


    def launch(self):
        demo = self.musepose_demo()
        demo.queue().launch(
            share=self.args.share
        )


if __name__ == "__main__":
    parser = argparse.ArgumentParser()
    parser.add_argument('--model_dir', type=str, default=os.path.join("pretrained_weights"), help='Pretrained models directory for MusePose')
    parser.add_argument('--output_dir', type=str, default=os.path.join("outputs"), help='Output directory for the result')
    parser.add_argument('--disable_model_download_at_start', type=bool, default=False, nargs='?', const=True, help='Disable model download at start or not')
    parser.add_argument('--share', type=bool, default=False, nargs='?', const=True, help='Gradio makes sharable link if it is true')
    args = parser.parse_args()

    app = App(args=args)
    app.launch()