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import gradio as gr | |
import pandas as pd | |
# Load the CSV data into a pandas DataFrame | |
df = pd.read_csv( | |
"https://raw.githubusercontent.com/autogluon/fev/refs/heads/main/benchmarks/chronos_zeroshot/results/seasonal_naive.csv" | |
) | |
# Define a function that returns the DataFrame | |
def show_data(): | |
return df | |
# Create a Gradio interface | |
# Setting outputs to "dataframe" automatically provides a DataFrame display. | |
# Alternatively, you can specify outputs=gr.DataFrame() for more configuration. | |
interface = gr.Interface( | |
fn=show_data, | |
inputs=[], | |
outputs="dataframe", | |
title="CSV Data Viewer", | |
description="This application displays the contents of a CSV file as a pandas DataFrame.", | |
) | |
if __name__ == "__main__": | |
interface.launch() | |