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import os, sys | |
import gradio as gr | |
from src.gradio_demo import SadTalker | |
try: | |
import webui # in webui | |
in_webui = True | |
except: | |
in_webui = False | |
def toggle_audio_file(choice): | |
if choice == False: | |
return gr.update(visible=True), gr.update(visible=False) | |
else: | |
return gr.update(visible=False), gr.update(visible=True) | |
def ref_video_fn(path_of_ref_video): | |
if path_of_ref_video is not None: | |
return gr.update(value=True) | |
else: | |
return gr.update(value=False) | |
sad_talker = SadTalker("checkpoints", "src/config", lazy_load=True) | |
with gr.Blocks(analytics_enabled=False) as demo: | |
gr.Markdown("<div align='center'> <h2> π SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation (CVPR 2023) </span> </h2> \ | |
<a style='font-size:18px;color: #efefef' href='https://arxiv.org/abs/2211.12194'>Arxiv</a> \ | |
<a style='font-size:18px;color: #efefef' href='https://sadtalker.github.io'>Homepage</a> \ | |
<a style='font-size:18px;color: #efefef' href='https://github.com/Winfredy/SadTalker'> Github </div>") | |
with gr.Row().style(equal_height=False): | |
with gr.Column(variant='panel'): | |
with gr.Tabs(elem_id="sadtalker_source_image"): | |
with gr.TabItem('Upload image'): | |
with gr.Row(): | |
source_image = gr.Image(label="Source image", source="upload", type="filepath", elem_id="img2img_image").style(width=512) | |
with gr.Tabs(elem_id="sadtalker_driven_audio"): | |
with gr.TabItem('Upload OR TTS'): | |
with gr.Column(variant='panel'): | |
driven_audio = gr.Audio(label="Input audio", source="upload", type="filepath") | |
with gr.Column(variant='panel'): | |
with gr.Tabs(elem_id="sadtalker_checkbox"): | |
with gr.TabItem('Settings'): | |
gr.Markdown("need help? please visit our [best practice page](https://github.com/OpenTalker/SadTalker/blob/main/docs/best_practice.md) for more detials") | |
with gr.Column(variant='panel'): | |
# width = gr.Slider(minimum=64, elem_id="img2img_width", maximum=2048, step=8, label="Manually Crop Width", value=512) # img2img_width | |
# height = gr.Slider(minimum=64, elem_id="img2img_height", maximum=2048, step=8, label="Manually Crop Height", value=512) # img2img_width | |
pose_style = gr.Slider(minimum=0, maximum=46, step=1, label="Pose style", value=0) # | |
size_of_image = gr.Radio([256, 512], value=256, label='face model resolution', info="use 256/512 model?") # | |
preprocess_type = gr.Radio(['crop', 'resize','full', 'extcrop', 'extfull'], value='crop', label='preprocess', info="How to handle input image?") | |
is_still_mode = gr.Checkbox(label="Still Mode (fewer hand motion, works with preprocess `full`)") | |
batch_size = gr.Slider(label="batch size in generation", step=1, maximum=10, value=2) | |
enhancer = gr.Checkbox(label="GFPGAN as Face enhancer") | |
submit = gr.Button('Generate', elem_id="sadtalker_generate", variant='primary') | |
with gr.Tabs(elem_id="sadtalker_genearted"): | |
gen_video = gr.Video(label="Generated video", format="mp4").style(width=256) | |
submit.click( | |
fn=sad_talker.test, | |
inputs=[source_image, | |
driven_audio, | |
preprocess_type, | |
is_still_mode, | |
enhancer, | |
batch_size, | |
size_of_image, | |
pose_style | |
], | |
outputs=[gen_video] | |
) | |
demo.queue().launch() |