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1086542f17
* Use template response * minor fix * Return type hint * add changeset * Remove return types * response_class=None * Use relative path * SPA * remove pydantic pin * Revert * delete changeset * Overflow hidden on body * text gray * Collapsible sidebar * max-height * Use search params * document.location.search --------- Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com>
77 lines
2.1 KiB
Python
77 lines
2.1 KiB
Python
import argparse
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import os
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import pathlib
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import shutil
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import textwrap
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def copy_all_demos(source_dir: str, dest_dir: str):
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demos_to_copy = [
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"audio_debugger",
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"altair_plot",
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"blocks_essay",
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"blocks_group",
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"blocks_js_methods",
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"blocks_layout",
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"blocks_multiple_event_triggers",
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"blocks_update",
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"calculator",
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"cancel_events",
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"chatbot_multimodal",
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"chatinterface_streaming_echo",
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"clear_components",
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"code",
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"fake_gan",
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"fake_diffusion_with_gif",
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"image_mod_default_image",
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"image_segmentation",
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"interface_random_slider",
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"kitchen_sink",
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"kitchen_sink_random",
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"matrix_transpose",
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"model3D",
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"native_plots",
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"reverse_audio",
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"stt_or_tts",
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"stream_audio",
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"stream_frames",
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"video_component",
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"zip_files",
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]
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for demo in demos_to_copy:
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shutil.copytree(
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os.path.join(source_dir, demo),
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os.path.join(dest_dir, demo),
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dirs_exist_ok=True,
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)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(
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description="Copy all demos to all_demos and update requirements"
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)
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parser.add_argument("gradio_version", type=str, help="Gradio")
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parser.add_argument("gradio_client_version", type=str, help="Gradio Client Version")
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args = parser.parse_args()
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source_dir = pathlib.Path(pathlib.Path(__file__).parent, "..", "demo")
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dest_dir = pathlib.Path(
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pathlib.Path(__file__).parent, "..", "demo", "all_demos", "demos"
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)
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copy_all_demos(source_dir, dest_dir)
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reqs_file_path = pathlib.Path(
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pathlib.Path(__file__).parent, "..", "demo", "all_demos", "requirements.txt"
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)
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requirements = f"""
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{args.gradio_client_version}
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{args.gradio_version}
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pypistats==1.1.0
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plotly==5.10.0
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opencv-python==4.6.0.66
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transformers==4.21.1
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torch==1.12.1
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altair
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vega_datasets
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"""
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open(reqs_file_path, "w").write(textwrap.dedent(requirements))
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