from typing import Optional import gradio import facefusion.choices from facefusion import face_landmarker, state_manager, wording from facefusion.common_helper import calc_float_step from facefusion.typing import FaceLandmarkerModel, Score from facefusion.uis.core import register_ui_component FACE_LANDMARKER_MODEL_DROPDOWN : Optional[gradio.Dropdown] = None FACE_LANDMARKER_SCORE_SLIDER : Optional[gradio.Slider] = None def render() -> None: global FACE_LANDMARKER_MODEL_DROPDOWN global FACE_LANDMARKER_SCORE_SLIDER FACE_LANDMARKER_MODEL_DROPDOWN = gradio.Dropdown( label = wording.get('uis.face_landmarker_model_dropdown'), choices = facefusion.choices.face_landmarker_models, value = state_manager.get_item('face_landmarker_model') ) FACE_LANDMARKER_SCORE_SLIDER = gradio.Slider( label = wording.get('uis.face_landmarker_score_slider'), value = state_manager.get_item('face_landmarker_score'), step = calc_float_step(facefusion.choices.face_landmarker_score_range), minimum = facefusion.choices.face_landmarker_score_range[0], maximum = facefusion.choices.face_landmarker_score_range[-1] ) register_ui_component('face_landmarker_model_dropdown', FACE_LANDMARKER_MODEL_DROPDOWN) register_ui_component('face_landmarker_score_slider', FACE_LANDMARKER_SCORE_SLIDER) def listen() -> None: FACE_LANDMARKER_MODEL_DROPDOWN.change(update_face_landmarker_model, inputs = FACE_LANDMARKER_MODEL_DROPDOWN, outputs = FACE_LANDMARKER_MODEL_DROPDOWN) FACE_LANDMARKER_SCORE_SLIDER.release(update_face_landmarker_score, inputs = FACE_LANDMARKER_SCORE_SLIDER) def update_face_landmarker_model(face_landmarker_model : FaceLandmarkerModel) -> gradio.Dropdown: face_landmarker.clear_inference_pool() state_manager.set_item('face_landmarker_model', face_landmarker_model) if face_landmarker.pre_check(): gradio.Dropdown(value = state_manager.get_item('face_landmarker_model')) return gradio.Dropdown() def update_face_landmarker_score(face_landmarker_score : Score) -> None: state_manager.set_item('face_landmarker_score', face_landmarker_score)