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