app.py

import gradio as gr
import pandas as pd

def extract_excel(file):
    # Read every sheet into a dict of DataFrames
    all_sheets = pd.read_excel(file.name, sheet_name=None, engine="openpyxl")
    
    # Build a single HTML string with each sheet
    html_parts = []
    for sheet_name, df in all_sheets.items():
        html_parts.append(f"<h2>Sheet: {sheet_name}</h2>")
        html_parts.append(df.to_html(index=False))
    
    return "".join(html_parts)

# Set up Gradio interface
iface = gr.Interface(
    fn=extract_excel,
    inputs=gr.File(label="Upload an Excel file (.xlsx/.xls)"),
    outputs=gr.HTML(label="Extracted Data"),
    title="Excel ⇒ Data Extractor",
    description="Uploads an Excel file and displays all sheets.",
    allow_flagging="never"
)

if __name__ == "__main__":
    iface.launch()