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