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File size: 1,083 Bytes
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import pandas as pd
import gradio as gr
import ydata_profiling
import os
def generate_eda_report(file_path):
try:
df = pd.read_csv(file_path)
except Exception as e:
return f"Error reading CSV file: {e}"
if len(df) / 1024 / 1024 > 100:
return "Error: Dataset size exceeds 100MB."
profile = ydata_profiling.ProfileReport(df, title="EDA Report")
report_path = "eda_report.html"
profile.to_file(report_path)
# Read the HTML content as a string
with open(report_path, "r", encoding="utf-8") as f:
html_report = f.read()
# Clean up the generated file
os.remove(report_path)
return html_report
iface = gr.Interface(
fn=generate_eda_report,
inputs=gr.File(type="filepath", label="Upload your CSV dataset (max 100MB)"),
outputs=gr.HTML(label="EDA Report"),
title="Effortless Dataset Insights",
description="Upload your CSV file and get an instant Exploratory Data Analysis report in HTML format.",
)
app = gr.mount_gradio_app(iface, path="/")
if __name__ == "__main__":
app.launch()
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