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from typing import List, Optional
import gradio
from facefusion import content_analyser, face_classifier, face_detector, face_landmarker, face_masker, face_recognizer, state_manager, voice_extractor, wording
from facefusion.execution import get_available_execution_providers
from facefusion.filesystem import get_file_name, resolve_file_paths
from facefusion.processors.core import get_processors_modules
from facefusion.types import ExecutionProvider
EXECUTION_PROVIDERS_CHECKBOX_GROUP : Optional[gradio.CheckboxGroup] = None
def render() -> None:
global EXECUTION_PROVIDERS_CHECKBOX_GROUP
EXECUTION_PROVIDERS_CHECKBOX_GROUP = gradio.CheckboxGroup(
label = wording.get('uis.execution_providers_checkbox_group'),
choices = get_available_execution_providers(),
value = state_manager.get_item('execution_providers')
)
def listen() -> None:
EXECUTION_PROVIDERS_CHECKBOX_GROUP.change(update_execution_providers, inputs = EXECUTION_PROVIDERS_CHECKBOX_GROUP, outputs = EXECUTION_PROVIDERS_CHECKBOX_GROUP)
def update_execution_providers(execution_providers : List[ExecutionProvider]) -> gradio.CheckboxGroup:
common_modules =\
[
content_analyser,
face_classifier,
face_detector,
face_landmarker,
face_masker,
face_recognizer,
voice_extractor
]
available_processors = [ get_file_name(file_path) for file_path in resolve_file_paths('facefusion/processors/modules') ]
processor_modules = get_processors_modules(available_processors)
for module in common_modules + processor_modules:
if hasattr(module, 'clear_inference_pool'):
module.clear_inference_pool()
execution_providers = execution_providers or get_available_execution_providers()
state_manager.set_item('execution_providers', execution_providers)
return gradio.CheckboxGroup(value = state_manager.get_item('execution_providers'))
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