Demo_space_2 / 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