File size: 4,548 Bytes
cff9535
 
 
416263d
 
cff9535
 
 
 
416263d
 
 
cff9535
 
416263d
 
cff9535
416263d
cff9535
 
416263d
2299694
416263d
cff9535
 
 
 
416263d
cff9535
 
d7e9ac0
cff9535
d7e9ac0
416263d
 
 
 
 
 
cff9535
9beb764
 
 
 
416263d
 
9beb764
 
 
a86a2b8
416263d
cff9535
 
 
416263d
 
cff9535
 
a86a2b8
 
416263d
 
a86a2b8
416263d
 
 
 
 
a86a2b8
 
 
 
416263d
 
a86a2b8
416263d
 
cff9535
 
 
 
 
 
416263d
 
cff9535
 
 
 
 
 
 
 
416263d
 
cff9535
 
 
a22eb82
 
cff9535
a22eb82
416263d
9801f4f
a22eb82
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
import os, sys
import tempfile
import gradio as gr
from src.gradio_demo import SadTalker  
from src.utils.text2speech import TTSTalker

def get_source_image(image):   
        return image



def sadtalker_demo():

    sad_talker = SadTalker()
    tts_talker = TTSTalker()

    with gr.Blocks(analytics_enabled=False) as sadtalker_interface:
        gr.Markdown("<div align='center'> <h2> 😭 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> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp; \
                    <a style='font-size:18px;color: #efefef' href='https://sadtalker.github.io'>Homepage</a>  &nbsp;&nbsp;&nbsp;&nbsp;&nbsp; \
                     <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").style(height=256,width=256)
 
                with gr.Tabs(elem_id="sadtalker_driven_audio"):
                    with gr.TabItem('Upload or Generating from TTS'):
                        with gr.Column(variant='panel'):
                            driven_audio = gr.Audio(label="Input audio(.wav/.mp3)", source="upload", type="filepath")
                    
                        with gr.Column(variant='panel'):
                            input_text = gr.Textbox(label="Generating audio from text", lines=5, placeholder="Alternatively, you can genreate the audio from text using @Coqui.ai TTS.")
                            tts = gr.Button('Generate audio',elem_id="sadtalker_audio_generate", variant='primary')
                            tts.click(fn=tts_talker.test, inputs=[input_text], outputs=[driven_audio])
                        

            with gr.Column(variant='panel'): 
                with gr.Tabs(elem_id="sadtalker_checkbox"):
                    with gr.TabItem('Settings'):
                        with gr.Column(variant='panel'):
                            is_still_mode = gr.Checkbox(label="w/ Still Mode (fewer hand motion, works on full body)")
                            enhancer = gr.Checkbox(label="w/ 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)

        with gr.Row():
            examples = [
                [
                    'examples/source_image/full_body_1.png',
                    'examples/driven_audio/bus_chinese.wav',
                    True,
                    False
                ],
                [
                    'examples/source_image/full_body_2.png',
                    'examples/driven_audio/itosinger1.wav',
                    True,
                    False
                ],
                [
                    'examples/source_image/art_13.png',
                    'examples/driven_audio/fayu.wav',
                    True,
                    False
                ],
                [
                    'examples/source_image/art_5.png',
                    'examples/driven_audio/chinese_news.wav',
                    True,
                    False
                ],
            ]
            gr.Examples(examples=examples,
                        inputs=[
                            source_image,
                            driven_audio,
                            is_still_mode,
                            enhancer], 
                        outputs=[gen_video],
                        fn=sad_talker.test,
                        cache_examples=os.getenv('SYSTEM') == 'spaces')

        submit.click(
                    fn=sad_talker.test, 
                    inputs=[source_image,
                            driven_audio,
                            is_still_mode,
                            enhancer], 
                    outputs=[gen_video]
                    )

    return sadtalker_interface
 

if __name__ == "__main__":

    demo = sadtalker_demo()
    demo.launch()