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Runtime error
Long Trinh-Quang
commited on
Commit
·
dc78718
1
Parent(s):
59ae2b9
[DEV] update ui app.py
Browse files
app.py
CHANGED
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@@ -2,15 +2,20 @@ import os, sys
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import tempfile
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import gradio as gr
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from app_tts import infer_tts
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from src.gradio_demo import SadTalker
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# from src.utils.text2speech import TTSTalker
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from huggingface_hub import snapshot_download
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def get_source_image(image):
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return image
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try:
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import webui # in webui
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in_webui = True
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except:
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in_webui = False
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@@ -21,22 +26,56 @@ def toggle_audio_file(choice):
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return gr.update(visible=True), gr.update(visible=False)
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else:
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return gr.update(visible=False), gr.update(visible=True)
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-
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def ref_video_fn(path_of_ref_video):
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if path_of_ref_video is not None:
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return gr.update(value=True)
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else:
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return gr.update(value=False)
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-
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def download_model():
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REPO_ID =
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snapshot_download(
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# New: Gộp 2 nút thành 1, output audio là input cho video
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import soundfile as sf
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-
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# 1. Sinh audio từ TTS
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(final_sample_rate, final_wave), _ = infer_tts(ref_audio, ref_text, gen_text, speed)
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# Lưu ra file tạm
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@@ -60,52 +99,155 @@ def generate_voice_and_video(ref_audio, ref_text, gen_text, speed, source_image,
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ref_info,
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use_idle_mode,
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length_of_audio,
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blink_every
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)
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return tmp_audio.name, video_path
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def sadtalker_demo():
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download_model()
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with gr.Blocks(
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with gr.Row():
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# Các setting cho SadTalker
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with gr.Column():
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preprocess_type = gr.Radio(['crop', 'resize','full', 'extcrop', 'extfull'], value='crop', label='preprocess', info="How to handle input image?")
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is_still_mode = gr.Checkbox(label="Still Mode (fewer head motion, works with preprocess `full`)")
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enhancer = gr.Checkbox(label="GFPGAN as Face enhancer")
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batch_size = gr.Slider(label="batch size in generation", step=1, maximum=10, value=1)
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size_of_image = gr.Radio([256, 512], value=256, label='face model resolution', info="use 256/512 model?")
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pose_style = gr.Slider(minimum=0, maximum=45, step=1, label="Pose style", value=0)
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facerender = gr.Radio(['facevid2vid','pirender'], value='facevid2vid', label='facerender', info="which face render?")
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exp_weight = gr.Slider(minimum=0, maximum=3, step=0.1, label="expression scale", value=1)
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use_ref_video = gr.Checkbox(label="Use Reference Video")
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ref_video = gr.Video(label="Reference Video", elem_id="vidref")
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ref_info = gr.Radio(['pose', 'blink','pose+blink', 'all'], value='pose', label='Reference Video',info="How to borrow from reference Video?((fully transfer, aka, video driving mode))")
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use_idle_mode = gr.Checkbox(label="Use Idle Animation")
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length_of_audio = gr.Number(value=5, label="The length(seconds) of the generated video.")
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blink_every = gr.Checkbox(label="use eye blink", value=True)
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btn_generate = gr.Button("🔥 Generate Voice & Video")
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with gr.Row():
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output_audio = gr.Audio(label="🎧 Generated Audio", type="filepath")
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gen_video = gr.Video(label="Generated video", format="mp4", scale=1)
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btn_generate.click(
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generate_voice_and_video,
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inputs=[ref_audio, ref_text, gen_text, speed, source_image, preprocess_type, is_still_mode, enhancer, batch_size, size_of_image, pose_style, facerender, exp_weight, use_ref_video, ref_video, ref_info, use_idle_mode, length_of_audio, blink_every],
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outputs=[output_audio, gen_video]
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)
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return sadtalker_interface
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if __name__ == "__main__":
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demo = sadtalker_demo()
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demo.queue(max_size=10, api_open=True)
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import tempfile
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import gradio as gr
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from app_tts import infer_tts
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from src.gradio_demo import SadTalker
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# from src.utils.text2speech import TTSTalker
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from huggingface_hub import snapshot_download
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import glob
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def get_source_image(image):
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return image
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try:
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import webui # in webui
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in_webui = True
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except:
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in_webui = False
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return gr.update(visible=True), gr.update(visible=False)
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else:
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return gr.update(visible=False), gr.update(visible=True)
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def ref_video_fn(path_of_ref_video):
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if path_of_ref_video is not None:
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return gr.update(value=True)
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else:
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return gr.update(value=False)
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+
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def download_model():
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REPO_ID = "vinthony/SadTalker-V002rc"
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snapshot_download(
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repo_id=REPO_ID,
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local_dir="./checkpoints",
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local_dir_use_symlinks=True,
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)
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def list_videos():
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# Lấy danh sách tất cả file mp4 trong results
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video_files = glob.glob("results/**/*.mp4", recursive=True)
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# Trả về danh sách file (có thể sort theo thời gian)
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return sorted(video_files, reverse=True)
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# New: Gộp 2 nút thành 1, output audio là input cho video
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import soundfile as sf
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def generate_voice_and_video(
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ref_audio,
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ref_text,
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gen_text,
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speed,
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source_image,
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preprocess_type,
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is_still_mode,
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enhancer,
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batch_size,
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size_of_image,
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pose_style,
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facerender,
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exp_weight,
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use_ref_video,
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ref_video,
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ref_info,
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use_idle_mode,
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length_of_audio,
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blink_every,
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):
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# 1. Sinh audio từ TTS
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(final_sample_rate, final_wave), _ = infer_tts(ref_audio, ref_text, gen_text, speed)
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# Lưu ra file tạm
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ref_info,
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use_idle_mode,
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length_of_audio,
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blink_every,
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)
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return tmp_audio.name, video_path
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def sadtalker_demo():
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download_model()
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with gr.Blocks(
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analytics_enabled=False,
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css="src/assets/css/atalink_theme.css",
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) as sadtalker_interface:
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gr.Markdown(
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f"""
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## F5-TTS & SadTalker
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Nhập text, upload sample voice và ảnh để tạo video nói chuyện. Chủ đạo Atalink Blue.
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"""
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)
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with gr.Tab("Lịch sử video"):
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with gr.Row(elem_classes="gr-row"):
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video_list = gr.Dropdown(
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choices=list_videos(),
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label="Chọn video để xem",
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interactive=True,
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scale=1,
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)
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video_player = gr.Video(
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height=180, width=180, label="Video lịch sử", scale=1
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)
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video_list.change(lambda x: x, inputs=video_list, outputs=video_player)
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with gr.Tab("Tạo video mới"):
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with gr.Row(elem_classes="gr-row"):
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ref_audio = gr.Audio(label="🔊 Sample Voice", type="filepath")
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ref_text = gr.Textbox(
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label="📝 Reference Transcript (optional)",
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placeholder="Nhập transcript tiếng Việt cho sample voice nếu có...",
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lines=2,
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)
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with gr.Row(elem_classes="gr-row"):
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gen_text = gr.Textbox(
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label="📝 Text",
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placeholder="Nhập nội dung để tạo giọng nói...",
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lines=3,
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)
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speed = gr.Slider(
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0.3,
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2.0,
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value=1.0,
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step=0.1,
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label="⚡ Tốc độ nói",
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info="Chỉnh tốc độ phát âm",
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)
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with gr.Row(elem_classes="gr-row"):
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source_image = gr.Image(
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label="Ảnh nguồn", type="filepath", elem_id="img2img_image"
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)
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with gr.Accordion(
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"Cài đặt nâng cao SadTalker", open=False, elem_classes="gr-button"
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):
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with gr.Row(elem_classes="gr-row"):
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preprocess_type = gr.Radio(
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["crop", "resize", "full", "extcrop", "extfull"],
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value="crop",
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label="Tiền xử lý ảnh",
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info="Cách xử lý ảnh đầu vào?",
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)
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is_still_mode = gr.Checkbox(
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label="Chế độ tĩnh (ít chuyển động đầu)"
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)
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enhancer = gr.Checkbox(label="Dùng GFPGAN làm đẹp mặt")
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batch_size = gr.Slider(
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label="Batch size", step=1, maximum=10, value=1
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)
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size_of_image = gr.Radio(
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[256, 512],
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value=256,
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label="Độ phân giải khuôn mặt",
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info="Dùng model 256/512?",
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)
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with gr.Row(elem_classes="gr-row"):
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pose_style = gr.Slider(
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minimum=0, maximum=45, step=1, label="Kiểu pose", value=0
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)
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facerender = gr.Radio(
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["facevid2vid", "pirender"],
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value="facevid2vid",
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label="Face render",
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info="Chọn kiểu render mặt",
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)
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exp_weight = gr.Slider(
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minimum=0,
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maximum=3,
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step=0.1,
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label="Biên độ biểu cảm",
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value=1,
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)
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use_ref_video = gr.Checkbox(label="Dùng video tham chiếu")
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ref_video = gr.Video(
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label="Video tham chiếu",
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elem_id="vidref",
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height=120,
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width=120,
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)
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ref_info = gr.Radio(
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["pose", "blink", "pose+blink", "all"],
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value="pose",
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label="Tham chiếu",
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info="Cách lấy thông tin từ video tham chiếu?",
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)
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use_idle_mode = gr.Checkbox(label="Idle Animation")
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length_of_audio = gr.Number(value=5, label="Độ dài video (giây)")
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blink_every = gr.Checkbox(label="Chớp mắt", value=True)
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btn_generate = gr.Button("🔥 Tạo giọng nói & video", elem_id="btn-generate")
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with gr.Row(elem_classes="gr-row"):
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output_audio = gr.Audio(label="🎧 Audio đã tạo", type="filepath")
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gen_video = gr.Video(
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label="Video đã tạo", format="mp4", scale=1, height=180, width=180
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)
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btn_generate.click(
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generate_voice_and_video,
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inputs=[
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ref_audio,
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ref_text,
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gen_text,
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speed,
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source_image,
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| 231 |
+
preprocess_type,
|
| 232 |
+
is_still_mode,
|
| 233 |
+
enhancer,
|
| 234 |
+
batch_size,
|
| 235 |
+
size_of_image,
|
| 236 |
+
pose_style,
|
| 237 |
+
facerender,
|
| 238 |
+
exp_weight,
|
| 239 |
+
use_ref_video,
|
| 240 |
+
ref_video,
|
| 241 |
+
ref_info,
|
| 242 |
+
use_idle_mode,
|
| 243 |
+
length_of_audio,
|
| 244 |
+
blink_every,
|
| 245 |
+
],
|
| 246 |
+
outputs=[output_audio, gen_video],
|
| 247 |
+
)
|
| 248 |
return sadtalker_interface
|
| 249 |
|
| 250 |
+
|
| 251 |
if __name__ == "__main__":
|
| 252 |
demo = sadtalker_demo()
|
| 253 |
demo.queue(max_size=10, api_open=True)
|