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import gradio as gr
import pandas as pd
from io import StringIO
# Global variable to hold the DataFrame
global_df = None
def process_csv(file):
global global_df
if file is None:
return None
# Read the CSV file into a DataFrame and store it in the global variable
global_df = pd.read_csv(StringIO(file.decode("utf-8")))
return None # Return None as we don't want to show any output
# Create the Gradio interface
iface = gr.Interface(
fn=process_csv,
inputs=gr.File(type="binary", label="Upload CSV File"),
outputs=gr.components.Label(), # Use Label as a placeholder output
title="CSV File Upload",
description="Upload a CSV file to load it into a pandas DataFrame."
)
if __name__ == "__main__":
iface.launch()
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