vnyash
51 lines
1.2 KiB
Python
51 lines
1.2 KiB
Python
import multiprocessing
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import gradio
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import deepfuze.globals
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from deepfuze.uis.components import about, frame_processors, frame_processors_options, execution, execution_thread_count, webcam_options, source, webcam
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def pre_check() -> bool:
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return True
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def pre_render() -> bool:
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return True
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def render() -> gradio.Blocks:
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with gradio.Blocks() as layout:
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with gradio.Row():
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with gradio.Column(scale = 2):
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with gradio.Blocks():
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about.render()
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with gradio.Blocks():
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frame_processors.render()
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with gradio.Blocks():
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frame_processors_options.render()
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with gradio.Blocks():
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execution.render()
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execution_thread_count.render()
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with gradio.Blocks():
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webcam_options.render()
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with gradio.Blocks():
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source.render()
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with gradio.Column(scale = 5):
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with gradio.Blocks():
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webcam.render()
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return layout
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def listen() -> None:
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frame_processors.listen()
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frame_processors_options.listen()
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execution.listen()
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execution_thread_count.listen()
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source.listen()
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webcam.listen()
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def run(ui : gradio.Blocks) -> None:
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concurrency_count = min(2, multiprocessing.cpu_count())
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ui.queue(concurrency_count = concurrency_count).launch(show_api = False, quiet = True, inbrowser = deepfuze.globals.open_browser)
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