Update script.py

script.py

@@ -9,8 +9,10 @@ import torch
 import re
 import argparse
 import os
+import zipfile
 
 def do_preprocess(class_data_dir):
+    print("Unzipping dataset")
     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)
@@ -20,7 +22,9 @@ def do_preprocess(class_data_dir):
 def do_train(script_args):
     # Pass all arguments to trainer.py
     print("Starting training...")
-    subprocess.run(['python', 'trainer.py'] + script_args)
+    result = subprocess.run(['python', 'trainer.py'] + script_args)
+    if result.returncode != 0:
+        raise Exception("Training failed.")
 
 def do_inference(dataset_name, output_dir, num_tokens):
     widget_content = []
@@ -107,8 +111,8 @@ def main():
 
     # Proceed with training and inference
     if args.class_data_dir:
-        print("Unzipping dataset")
         do_preprocess(args.class_data_dir)
+        print("Pre-processing finished!")
     do_train(script_args)
     print("Training finished!")
     do_inference(args.dataset_name, args.output_dir, args.num_new_tokens_per_abstraction)