Files
2024-06-13 07:56:13 +05:30

84 lines
2.8 KiB
Python

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