Update download.py

download.py

@@ -6,19 +6,15 @@ import pandas as pd
 from datasets import load_dataset
 
 def decode_and_save_images(df, output_dir):
-    for i, row in df.iterrows():
-        # Decode image
-        image_data = base64.b64decode(row['image'])
+    for i, (image_base64, caption) in enumerate(zip(df['image'], df['caption'])):
+        # Decode and save the image
+        image_data = base64.b64decode(image_base64)
         image = Image.open(io.BytesIO(image_data))
+        image.save(os.path.join(output_dir, f"image_{i}.png"))
 
-        # Save image
-        image_filename = f"{output_dir}/image_{i}.png"
-        image.save(image_filename)
-
-        # Save caption
-        caption_filename = f"{output_dir}/caption_{i}.txt"
-        with open(caption_filename, 'w') as file:
-            file.write(row['caption'])
+        # Save the caption
+        with open(os.path.join(output_dir, f"caption_{i}.txt"), 'w') as file:
+            file.write(caption)
 
         print(f"Saved Image and Caption {i}")
 
@@ -26,8 +22,8 @@ def main():
     # Load dataset from Hugging Face
     dataset = load_dataset("dataautogpt3/Dalle3")
 
-    # Convert to Pandas DataFrame (assuming the dataset is in the first split)
-    df = pd.DataFrame(dataset['train'])
+    # Assuming the first split contains the data
+    df = pd.DataFrame(dataset[next(iter(dataset))])
 
     # Specify your desired output directory here
     output_dir = '/path/to/your/desired/output'  # Replace with your specific path