Delete app.py

app.py

@@ -1,27 +0,0 @@
-import pandas as pd
-from tqdm import tqdm
-import os
-
-# Paths
-original_dataset_path = "dataset.csv"
-output_dataset_path = "cloned_dataset.csv"
-max_output_size = 4 * 1024 * 1024 * 1024  # 4GB
-
-# Read the original dataset
-original_df = pd.read_csv(original_dataset_path, encoding='utf-8')
-
-# Initialize variables
-cloned_df = pd.DataFrame(columns=original_df.columns)
-output_size = 0
-
-# Clone the dataset while keeping the output size under the limit
-for index, row in tqdm.tqdm(original_df.iterrows(), total=len(original_df), desc="Cloning"):
-    cloned_df = cloned_df.append(row)
-    output_size = cloned_df.memory_usage(deep=True).sum()
-    
-    if output_size >= max_output_size:
-        break
-
-# Save the cloned dataset
-cloned_df.to_csv(output_dataset_path, index=False, encoding='utf-8')
-print(f"Cloned dataset saved to {output_dataset_path}")