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* changes * changes * revert changes * changes * add changeset * notebooks script * changes * changes --------- Co-authored-by: Ali Abid <aliabid94@gmail.com> Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com> Co-authored-by: Ali Abdalla <ali.si3luwa@gmail.com>
40 lines
1.2 KiB
Python
40 lines
1.2 KiB
Python
"""Opens X demos randomly for quick inspection
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Usage: python random_demos.py <num_demos>
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Example: python random_demos.py 8
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Assumes:
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- This is being run from the gradio/demo/ directory
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"""
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from __future__ import annotations
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import argparse
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import importlib
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import os
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import random
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import gradio as gr
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parser = argparse.ArgumentParser()
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parser.add_argument("num_demos", help="number of demos to launch", type=int, default=4)
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args = parser.parse_args()
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# get the list of directory names
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demos_list = next(os.walk('.'))[1]
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# Some demos are just too large or need to be run in a special way, so we'll just skip them
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demos_list.remove('streaming_wav2vec')
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demos_list.remove('blocks_neural_instrument_coding')
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demos_list.remove('flagged')
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for d, demo_name in enumerate(random.sample(demos_list, args.num_demos)):
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print(f"Launching demo {d+1}/{args.num_demos}: {demo_name}")
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# import the run.py file from inside the directory specified by args.demo_name
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run = importlib.import_module(f"{demo_name}.run")
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demo: gr.Blocks = run.demo
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if d == args.num_demos - 1:
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demo.launch(prevent_thread_lock=False, inbrowser=True) # prevent main thread from exiting
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else:
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demo.launch(prevent_thread_lock=True, inbrowser=True)
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