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| import pandas as pd | |
| import ydata_profiling | |
| import gradio as gr | |
| from pydantic_settings import BaseSettings | |
| import sweetviz as sv | |
| def generate_report(file,type): | |
| df = pd.read_csv(file) if file.name.endswith(".csv") else pd.read_excel(file) | |
| if type == "pandas profiling": | |
| return ydata_profiling.ProfileReport(df).to_html() | |
| elif type == "sweetviz": | |
| return sv.analyze(global_df).show_html() | |
| iface = gr.Interface( | |
| generate_report, | |
| [gr.File(file_types=['.csv','.xlsx'], label="Upload a CSV or Excel file"), | |
| gr.Radio(["pandas profiling", "sweetviz"], label="Type of report", info="Explore the data")], | |
| "html", | |
| title="Excel sheet Profiling Report", | |
| live=True, | |
| ) | |
| iface.launch(share=True) |