Update script.py

script.py

@@ -40,6 +40,7 @@ def do_inference(dataset_name, output_dir, num_tokens):
         pipe.load_textual_inversion(state_dict["clip_g"], token=tokens_list, text_encoder=pipe.text_encoder_2, tokenizer=pipe.tokenizer_2)
         
         prompts = [prompt.replace("TOK", tokens_sequence) for prompt in prompts]    
+    
     for i, prompt in enumerate(prompts):
         image = pipe(prompt, num_inference_steps=25, guidance_scale=7.5).images[0]
         filename = f"image-{i}.png"
@@ -51,7 +52,7 @@ def do_inference(dataset_name, output_dir, num_tokens):
             '{filename}'"""
     with open(f'{output_dir}/README.md', 'r') as file:
         readme_content = file.read()
-    
+
     updated_readme_content = re.sub(r'(widget:\n)(.*?)(?=\n\S+:)', f'\\1{card_string}', readme_content, flags=re.DOTALL)
     print("Images generated!")
     with open('README.md', 'w') as file: