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from typing import Any, IO, Optional
import gradio
import DeepFakeAI.globals
from DeepFakeAI import wording
from DeepFakeAI.uis import core as ui
from DeepFakeAI.uis.typing import Update
from DeepFakeAI.utilities import is_image
SOURCE_FILE : Optional[gradio.File] = None
SOURCE_IMAGE : Optional[gradio.Image] = None
def render() -> None:
global SOURCE_FILE
global SOURCE_IMAGE
with gradio.Box():
is_source_image = is_image(DeepFakeAI.globals.source_path)
SOURCE_FILE = gradio.File(
file_count = 'single',
file_types=
[
'.png',
'.jpg',
'.webp'
],
label = wording.get('source_file_label'),
value = DeepFakeAI.globals.source_path if is_source_image else None
)
ui.register_component('source_file', SOURCE_FILE)
SOURCE_IMAGE = gradio.Image(
value = SOURCE_FILE.value['name'] if is_source_image else None,
visible = is_source_image,
show_label = False
)
def listen() -> None:
SOURCE_FILE.change(update, inputs = SOURCE_FILE, outputs = SOURCE_IMAGE)
def update(file: IO[Any]) -> Update:
if file and is_image(file.name):
DeepFakeAI.globals.source_path = file.name
return gradio.update(value = file.name, visible = True)
DeepFakeAI.globals.source_path = None
return gradio.update(value = None, visible = False)