mirror of
https://github.com/gradio-app/gradio.git
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ceb4005bb6
- Removes assumption/requirement that the script is run specifically in the demo/ directory. - Removes assumption/requirement that there are 3 unwanted large demos that should be removed. (Note: currently, the `.gradio/flagged` demo isn't there, so it will throw an error.)
39 lines
1.3 KiB
Python
39 lines
1.3 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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"""
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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 pathlib
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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(pathlib.Path(__file__).parent))[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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large_demos = ['streaming_wav2vec', 'blocks_neural_instrument_coding', '.gradio/flagged']
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for large_demo in large_demos:
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if large_demo in demos_list:
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demos_list.remove(large_demo)
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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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