multimodalart HF staff commited on
Commit
25c48b5
·
1 Parent(s): 02c53c0

Update script.py

Browse files
Files changed (1) hide show
  1. script.py +7 -2
script.py CHANGED
@@ -18,9 +18,11 @@ def parse_arguments():
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  def do_train(script_args):
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  # Pass all arguments to trainer.py
 
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  subprocess.run(['python', 'trainer.py'] + script_args)
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  def do_inference(dataset_name, output_dir, num_tokens):
 
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  dataset = load_dataset(dataset_name)
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  pipe = AutoPipelineForText2Image.from_pretrained(
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  "stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16
@@ -51,17 +53,19 @@ def do_inference(dataset_name, output_dir, num_tokens):
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  readme_content = file.read()
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  updated_readme_content = re.sub(r'(widget:\n)(.*?)(?=\n\S+:)', f'\\1{card_string}', readme_content, flags=re.DOTALL)
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-
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  with open('README.md', 'w') as file:
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  file.write(updated_readme_content)
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  from huggingface_hub import HfApi
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  api = HfApi()
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  username = api.whoami()["name"]
 
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  api.upload_folder(
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  folder_path=output_dir,
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  repo_id=f"{username}/{output_dir}",
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  repo_type="model",
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  )
 
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  import sys
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  import argparse
@@ -86,7 +90,8 @@ def main():
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  # Proceed with training and inference
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  do_train(script_args)
 
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  do_inference(args.dataset_name, args.output_dir, args.num_new_tokens_per_abstraction)
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-
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  if __name__ == "__main__":
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  main()
 
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  def do_train(script_args):
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  # Pass all arguments to trainer.py
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+ print("Starting training...")
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  subprocess.run(['python', 'trainer.py'] + script_args)
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  def do_inference(dataset_name, output_dir, num_tokens):
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+ print("Starting inference to generate example images...")
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  dataset = load_dataset(dataset_name)
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  pipe = AutoPipelineForText2Image.from_pretrained(
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  "stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16
 
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  readme_content = file.read()
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  updated_readme_content = re.sub(r'(widget:\n)(.*?)(?=\n\S+:)', f'\\1{card_string}', readme_content, flags=re.DOTALL)
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+ print("Images generated!")
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  with open('README.md', 'w') as file:
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  file.write(updated_readme_content)
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  from huggingface_hub import HfApi
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  api = HfApi()
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  username = api.whoami()["name"]
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+ print("Starting upload...")
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  api.upload_folder(
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  folder_path=output_dir,
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  repo_id=f"{username}/{output_dir}",
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  repo_type="model",
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  )
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+ print("Upload finished!")
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  import sys
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  import argparse
 
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  # Proceed with training and inference
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  do_train(script_args)
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+ print("Training finished!")
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  do_inference(args.dataset_name, args.output_dir, args.num_new_tokens_per_abstraction)
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+ print("All finished!")
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  if __name__ == "__main__":
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  main()