app.py

import gradio as gr
import pandas as pd

def modify_csv(input_csv):
    # Load the input CSV file into a pandas DataFrame
    df = pd.read_csv(input_csv)

    # Modify the DataFrame (in this example, just add 1 to all values)
    df = df + 1

    # Save the modified DataFrame to a new CSV file
    output_csv = 'output.csv'
    df.to_csv(output_csv, index=False)

    # Return the path to the output CSV file
    return output_csv

# Define the input and output types for the Gradio interface
input_type = gr.inputs.Dataframe(type="csv", label="Upload a CSV file")
output_type = gr.outputs.File(type="csv", label="Download the modified CSV file")

# Create the Gradio interface
iface = gr.Interface(fn=modify_csv, inputs=input_type, outputs=output_type, title="CSV Modifier")

# Launch the interface
iface.launch()