from typing import Optional import gradio import facefusion.globals import facefusion.choices from facefusion import wording from facefusion.typing import FaceAnalyserOrder, FaceAnalyserAge, FaceAnalyserGender, FaceDetectorModel from facefusion.uis.core import register_ui_component FACE_ANALYSER_ORDER_DROPDOWN : Optional[gradio.Dropdown] = None FACE_ANALYSER_AGE_DROPDOWN : Optional[gradio.Dropdown] = None FACE_ANALYSER_GENDER_DROPDOWN : Optional[gradio.Dropdown] = None FACE_DETECTOR_SIZE_DROPDOWN : Optional[gradio.Dropdown] = None FACE_DETECTOR_SCORE_SLIDER : Optional[gradio.Slider] = None FACE_DETECTOR_MODEL_DROPDOWN : Optional[gradio.Dropdown] = None def render() -> None: global FACE_ANALYSER_ORDER_DROPDOWN global FACE_ANALYSER_AGE_DROPDOWN global FACE_ANALYSER_GENDER_DROPDOWN global FACE_DETECTOR_SIZE_DROPDOWN global FACE_DETECTOR_SCORE_SLIDER global FACE_DETECTOR_MODEL_DROPDOWN with gradio.Row(): FACE_ANALYSER_ORDER_DROPDOWN = gradio.Dropdown( label = wording.get('face_analyser_order_dropdown_label'), choices = facefusion.choices.face_analyser_orders, value = facefusion.globals.face_analyser_order ) FACE_ANALYSER_AGE_DROPDOWN = gradio.Dropdown( label = wording.get('face_analyser_age_dropdown_label'), choices = [ 'none' ] + facefusion.choices.face_analyser_ages, value = facefusion.globals.face_analyser_age or 'none' ) FACE_ANALYSER_GENDER_DROPDOWN = gradio.Dropdown( label = wording.get('face_analyser_gender_dropdown_label'), choices = [ 'none' ] + facefusion.choices.face_analyser_genders, value = facefusion.globals.face_analyser_gender or 'none' ) FACE_DETECTOR_MODEL_DROPDOWN = gradio.Dropdown( label = wording.get('face_detector_model_dropdown_label'), choices = facefusion.choices.face_detector_models, value = facefusion.globals.face_detector_model ) FACE_DETECTOR_SIZE_DROPDOWN = gradio.Dropdown( label = wording.get('face_detector_size_dropdown_label'), choices = facefusion.choices.face_detector_sizes, value = facefusion.globals.face_detector_size ) FACE_DETECTOR_SCORE_SLIDER = gradio.Slider( label = wording.get('face_detector_score_slider_label'), value = facefusion.globals.face_detector_score, step = facefusion.choices.face_detector_score_range[1] - facefusion.choices.face_detector_score_range[0], minimum = facefusion.choices.face_detector_score_range[0], maximum = facefusion.choices.face_detector_score_range[-1] ) register_ui_component('face_analyser_order_dropdown', FACE_ANALYSER_ORDER_DROPDOWN) register_ui_component('face_analyser_age_dropdown', FACE_ANALYSER_AGE_DROPDOWN) register_ui_component('face_analyser_gender_dropdown', FACE_ANALYSER_GENDER_DROPDOWN) register_ui_component('face_detector_model_dropdown', FACE_DETECTOR_MODEL_DROPDOWN) register_ui_component('face_detector_size_dropdown', FACE_DETECTOR_SIZE_DROPDOWN) register_ui_component('face_detector_score_slider', FACE_DETECTOR_SCORE_SLIDER) def listen() -> None: FACE_ANALYSER_ORDER_DROPDOWN.select(update_face_analyser_order, inputs = FACE_ANALYSER_ORDER_DROPDOWN) FACE_ANALYSER_AGE_DROPDOWN.select(update_face_analyser_age, inputs = FACE_ANALYSER_AGE_DROPDOWN) FACE_ANALYSER_GENDER_DROPDOWN.select(update_face_analyser_gender, inputs = FACE_ANALYSER_GENDER_DROPDOWN) FACE_DETECTOR_MODEL_DROPDOWN.change(update_face_detector_model, inputs = FACE_DETECTOR_MODEL_DROPDOWN) FACE_DETECTOR_SIZE_DROPDOWN.select(update_face_detector_size, inputs = FACE_DETECTOR_SIZE_DROPDOWN) FACE_DETECTOR_SCORE_SLIDER.change(update_face_detector_score, inputs = FACE_DETECTOR_SCORE_SLIDER) def update_face_analyser_order(face_analyser_order : FaceAnalyserOrder) -> None: facefusion.globals.face_analyser_order = face_analyser_order if face_analyser_order != 'none' else None def update_face_analyser_age(face_analyser_age : FaceAnalyserAge) -> None: facefusion.globals.face_analyser_age = face_analyser_age if face_analyser_age != 'none' else None def update_face_analyser_gender(face_analyser_gender : FaceAnalyserGender) -> None: facefusion.globals.face_analyser_gender = face_analyser_gender if face_analyser_gender != 'none' else None def update_face_detector_model(face_detector_model : FaceDetectorModel) -> None: facefusion.globals.face_detector_model = face_detector_model def update_face_detector_size(face_detector_size : str) -> None: facefusion.globals.face_detector_size = face_detector_size def update_face_detector_score(face_detector_score : float) -> None: facefusion.globals.face_detector_score = face_detector_score