Create data_preprocessing.py

data_preprocessing.py

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+import transformers
+import pandas as pd
+
+def preprocess_csv(file_url):
+  """
+  Downloads a CSV file from Hugging Face, preprocesses the data, and returns a single string.
+
+  Args:
+      file_url: URL of the CSV file on Hugging Face Hub.
+
+  Returns:
+      A string containing the preprocessed text from the CSV file.
+  """
+  # Download the file using transformers Hub
+  file = transformers.file_download(file_url)
+
+  # Read the CSV data using pandas
+  df = pd.read_csv(file)
+
+  # Preprocess the data (replace with your specific logic)
+  # Example: Combine relevant columns into a single string
+  text = " ".join(df["column1"].tolist() + df["column2"].tolist())
+
+  return text