Automatic Speech Recognition
Transformers
4 languages
whisper
whisper-event
Generated from Trainer
Inference Endpoints
File size: 592 Bytes
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""" Python script that triggers sagemaker flow"""

import sys
import subprocess

def main():
    # Let's skip arg names
    script_name = sys.argv[2]
    repo = sys.argv[4]
    repo_name = repo.split('/')[-1] + '/'
    cmd = f'git clone {repo}'
    print("Running", cmd)
    output1 = subprocess.run(cmd.split(), stdout=subprocess.PIPE)
    print(output1.stdout.decode())
    cmd = f'sh {repo_name}/{script_name} {repo_name}'
    print("Running", cmd)
    output2 = subprocess.run(cmd.split(), stdout=subprocess.PIPE)
    print(output2.stdout.decode())

if __name__ == '__main__':
    main()