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# coding: utf-8
"""
The entrance of the gradio
"""
import tyro
import gradio as gr
import spaces
import os.path as osp
from src.utils.helper import load_description
from src.gradio_pipeline import GradioPipeline
from src.config.crop_config import CropConfig
from src.config.argument_config import ArgumentConfig
from src.config.inference_config import InferenceConfig
def partial_fields(target_class, kwargs):
return target_class(**{k: v for k, v in kwargs.items() if hasattr(target_class, k)})
# set tyro theme
tyro.extras.set_accent_color("bright_cyan")
args = tyro.cli(ArgumentConfig)
# specify configs for inference
inference_cfg = partial_fields(InferenceConfig, args.__dict__) # use attribute of args to initial InferenceConfig
crop_cfg = partial_fields(CropConfig, args.__dict__) # use attribute of args to initial CropConfig
gradio_pipeline = GradioPipeline(
inference_cfg=inference_cfg,
crop_cfg=crop_cfg,
args=args
)
@spaces.GPU()
def gpu_wrapped_execute_s_video(*args, **kwargs):
return gradio_pipeline.execute_s_video(*args, **kwargs)
# assets
title_md = "assets/gradio_title.md"
example_portrait_dir = "assets/examples/source"
example_video_dir = "assets/examples/driving"
#################### interface logic ####################
css="""
#col-container {
max_width: 1400px;
margin: 0 auto;
}
"""
with gr.Blocks(css=css) as demo:
with gr.Column(elem_id="col-container"):
gr.HTML(load_description(title_md))
gr.Markdown("""
## 🤗 This is the gradio demo for Vid2Vid LivePortrait.
Please upload or use a webcam to get a Source Portrait Video (any aspect ratio) and upload a Driving Video (1:1 aspect ratio, or any aspect ratio with do crop (driving video) checked).
""")
with gr.Row():
with gr.Column():
source_video_input = gr.Video(label="Portrait Video Source")
gr.Examples(
examples=[
[osp.join(example_video_dir, "d0.mp4")],
[osp.join(example_video_dir, "d18.mp4")],
[osp.join(example_video_dir, "d19.mp4")],
[osp.join(example_video_dir, "d14.mp4")],
[osp.join(example_video_dir, "d6.mp4")],
],
inputs=[source_video_input],
cache_examples=False,
)
gr.Markdown("——————————")
video_input = gr.Video(label="Driving Portrait Video")
gr.Examples(
examples=[
[osp.join(example_video_dir, "d0.mp4")],
[osp.join(example_video_dir, "d18.mp4")],
[osp.join(example_video_dir, "d19.mp4")],
[osp.join(example_video_dir, "d14.mp4")],
[osp.join(example_video_dir, "d6.mp4")],
],
inputs=[video_input],
cache_examples=False,
)
with gr.Accordion(open=False, label="source Animation Instructions and Options"):
gr.Markdown(load_description("assets/gradio_description_animation.md"))
with gr.Row():
flag_relative_input = gr.Checkbox(value=True, label="relative motion")
flag_do_crop_input = gr.Checkbox(value=True, label="do crop (source)")
flag_remap_input = gr.Checkbox(value=True, label="paste-back")
flag_crop_driving_video_input = gr.Checkbox(value=False, label="do crop (driving video)")
with gr.Row():
process_button_source_animation = gr.Button("🚀 Animate video", variant="primary")
with gr.Column():
output_video1 = gr.Video(label="The animated video in the original image space")
output_video_concat1 = gr.Video(label="The animated video")
# binding functions for buttons
process_button_source_animation.click(
fn=gpu_wrapped_execute_s_video,
inputs=[
source_video_input,
video_input,
flag_relative_input,
flag_do_crop_input,
flag_remap_input,
flag_crop_driving_video_input
],
outputs=[output_video1, output_video_concat1],
show_progress=True,
show_api=False
)
demo.queue(max_size=10).launch(show_api=False)
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