Update script.py

script.py

@@ -8,16 +8,15 @@ from huggingface_hub import HfApi
 import torch
 import re
 import argparse
+import os
 
-def parse_arguments():
-    parser = argparse.ArgumentParser(description="Process script arguments.")
-    parser.add_argument('--dataset_name', required=True, help='Name of the dataset.')
-    parser.add_argument('--output_dir', required=True, help='Output directory.')
-    parser.add_argument('--num_new_tokens_per_abstraction', type=int, default=0, help='Number of new tokens per abstraction.')
-    parser.add_argument('--train_text_encoder_ti', action='store_true', help='Flag to train text encoder TI.')
+def do_preprocess(class_data_dir):
+    zip_file_path = f"{class_data_dir}/class_images.zip"
+    with zipfile.ZipFile(zip_file_path, 'r') as zip_ref:
+        zip_ref.extractall(class_data_dir)
+    os.remove(zip_file_path)
+    print(os.listdir(zip_file_path))
 
-    return parser.parse_args()
-    
 def do_train(script_args):
     # Pass all arguments to trainer.py
     print("Starting training...")
@@ -97,6 +96,7 @@ def main():
     parser.add_argument('--output_dir', required=True)
     parser.add_argument('--num_new_tokens_per_abstraction', type=int, default=0)
     parser.add_argument('--train_text_encoder_ti', action='store_true')
+    parser.add_argument('--class_data_dir', help="Name of the class images dataset")
 
     # Parse known arguments
     args, _ = parser.parse_known_args(script_args)
@@ -106,6 +106,9 @@ def main():
         args.num_new_tokens_per_abstraction = 0
 
     # Proceed with training and inference
+    if args.class_data_dir:
+        print("Unzipping dataset")
+        do_preprocess(args.class_data_dir)
     do_train(script_args)
     print("Training finished!")
     do_inference(args.dataset_name, args.output_dir, args.num_new_tokens_per_abstraction)