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| import os, sys | |
| import tempfile | |
| import gradio as gr | |
| from modules.text2speech import text2speech | |
| from modules.gfpgan_inference import gfpgan | |
| from modules.sadtalker_test import SadTalker | |
| def get_driven_audio(audio): | |
| if os.path.isfile(audio): | |
| return audio | |
| else: | |
| save_path = tempfile.NamedTemporaryFile( | |
| delete=False, | |
| suffix=("." + "wav"), | |
| ) | |
| gen_audio = text2speech(audio, save_path.name) | |
| return gen_audio, gen_audio | |
| def get_source_image(image): | |
| return image | |
| def sadtalker_demo(result_dir): | |
| sad_talker = SadTalker() | |
| with gr.Blocks(analytics_enabled=False) as sadtalker_interface: | |
| with gr.Row().style(equal_height=False): | |
| with gr.Column(variant='panel'): | |
| with gr.Tabs(elem_id="sadtalker_source_image"): | |
| source_image = gr.Image(visible=False, type="filepath") | |
| with gr.TabItem('Upload image'): | |
| with gr.Row(): | |
| input_image = gr.Image(label="Source image", source="upload", type="filepath").style(height=256,width=256) | |
| submit_image = gr.Button('Submit', variant='primary') | |
| submit_image.click(fn=get_source_image, inputs=input_image, outputs=source_image) | |
| with gr.Tabs(elem_id="sadtalker_driven_audio"): | |
| driven_audio = gr.Audio(visible=False, type="filepath") | |
| with gr.TabItem('Upload audio'): | |
| with gr.Column(variant='panel'): | |
| input_audio1 = gr.Audio(label="Input audio", source="upload", type="filepath") | |
| submit_audio_1 = gr.Button('Submit', variant='primary') | |
| submit_audio_1.click(fn=get_driven_audio, inputs=input_audio1, outputs=driven_audio) | |
| with gr.TabItem('Microphone'): | |
| with gr.Column(variant='panel'): | |
| input_audio2 = gr.Audio(label="Recording audio", source="microphone", type="filepath") | |
| submit_audio_2 = gr.Button('Submit', variant='primary') | |
| submit_audio_2.click(fn=get_driven_audio, inputs=input_audio2, outputs=driven_audio) | |
| with gr.TabItem('TTS'): | |
| with gr.Column(variant='panel'): | |
| with gr.Row().style(equal_height=False): | |
| input_text = gr.Textbox(label="Input text", lines=5, value="Please enter some text in English") | |
| input_audio3 = gr.Audio(label="Generated audio", type="filepath") | |
| submit_audio_3 = gr.Button('Submit', variant='primary') | |
| submit_audio_3.click(fn=get_driven_audio, inputs=input_text, outputs=[input_audio3, driven_audio]) | |
| with gr.Column(variant='panel'): | |
| gen_video = gr.Video(label="Generated video", format="mp4").style(height=256,width=256) | |
| gen_text = gr.Textbox(visible=False) | |
| submit = gr.Button('Generate', elem_id="sadtalker_generate", variant='primary') | |
| scale = gr.Slider(minimum=1, maximum=8, step=1, label="GFPGAN scale", value=1) | |
| new_video = gr.Video(label="New video", format="mp4").style(height=512,width=512) | |
| change_scale = gr.Button('Restore video', elem_id="restore_video", variant='primary') | |
| submit.click( | |
| fn=sad_talker.test, | |
| inputs=[source_image, | |
| driven_audio, | |
| gr.Textbox(value=result_dir, visible=False)], | |
| outputs=[gen_video, gen_text] | |
| ) | |
| change_scale.click(gfpgan, [scale, gen_text], new_video) | |
| return sadtalker_interface | |
| if __name__ == "__main__": | |
| current_code_path = sys.argv[0] | |
| current_root_dir = os.path.split(current_code_path)[0] | |
| sadtalker_result_dir = os.path.join(current_root_dir, 'results', 'sadtalker') | |
| demo = sadtalker_demo(sadtalker_result_dir) | |
| demo.launch() | |