deepfuze
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from typing import Tuple, Optional
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import gradio
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import deepfuze.globals
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from deepfuze import wording
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from deepfuze.face_store import clear_static_faces, clear_reference_faces
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from deepfuze.uis.typing import File
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from deepfuze.filesystem import get_file_size, is_image, is_video
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from deepfuze.uis.core import register_ui_component
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from deepfuze.vision import get_video_frame, normalize_frame_color
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FILE_SIZE_LIMIT = 512 * 1024 * 1024
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TARGET_FILE : Optional[gradio.File] = None
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TARGET_IMAGE : Optional[gradio.Image] = None
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TARGET_VIDEO : Optional[gradio.Video] = None
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def render() -> None:
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global TARGET_FILE
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global TARGET_IMAGE
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global TARGET_VIDEO
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is_target_image = is_image(deepfuze.globals.target_path)
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is_target_video = is_video(deepfuze.globals.target_path)
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TARGET_FILE = gradio.File(
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label = wording.get('uis.target_file'),
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file_count = 'single',
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file_types =
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[
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'.png',
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'.jpg',
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'.webp',
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'.webm',
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'.mp4'
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],
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value = deepfuze.globals.target_path if is_target_image or is_target_video else None
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)
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target_image_args =\
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{
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'show_label': False,
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'visible': False
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}
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target_video_args =\
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{
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'show_label': False,
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'visible': False
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}
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if is_target_image:
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target_image_args['value'] = TARGET_FILE.value['name']
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target_image_args['visible'] = True
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if is_target_video:
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if get_file_size(deepfuze.globals.target_path) > FILE_SIZE_LIMIT:
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preview_vision_frame = normalize_frame_color(get_video_frame(deepfuze.globals.target_path))
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target_image_args['value'] = preview_vision_frame
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target_image_args['visible'] = True
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else:
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target_video_args['value'] = TARGET_FILE.value['name']
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target_video_args['visible'] = True
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TARGET_IMAGE = gradio.Image(**target_image_args)
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TARGET_VIDEO = gradio.Video(**target_video_args)
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register_ui_component('target_image', TARGET_IMAGE)
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register_ui_component('target_video', TARGET_VIDEO)
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def listen() -> None:
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TARGET_FILE.change(update, inputs = TARGET_FILE, outputs = [ TARGET_IMAGE, TARGET_VIDEO ])
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def update(file : File) -> Tuple[gradio.Image, gradio.Video]:
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clear_reference_faces()
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clear_static_faces()
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if file and is_image(file.name):
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deepfuze.globals.target_path = file.name
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return gradio.Image(value = file.name, visible = True), gradio.Video(value = None, visible = False)
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if file and is_video(file.name):
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deepfuze.globals.target_path = file.name
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if get_file_size(file.name) > FILE_SIZE_LIMIT:
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preview_vision_frame = normalize_frame_color(get_video_frame(file.name))
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return gradio.Image(value = preview_vision_frame, visible = True), gradio.Video(value = None, visible = False)
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return gradio.Image(value = None, visible = False), gradio.Video(value = file.name, visible = True)
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deepfuze.globals.target_path = None
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return gradio.Image(value = None, visible = False), gradio.Video(value = None, visible = False)
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