app.py

import gradio as gr
import pandas as pd
import sweetviz as sv
import tempfile
import os

class DataAnalyzer:
    def __init__(self):
        self.temp_dir = tempfile.mkdtemp()
    
    def generate_sweetviz_report(self, df):
        report = sv.analyze(df)
        report_path = os.path.join(self.temp_dir, "report.html")
        report.show_html(report_path, open_browser=False)
        
        with open(report_path, 'r', encoding='utf-8') as f:
            html_content = f.read()
        
        # Wrap the report in a table cell with styling
        html_with_table = f"""
        <table width="100%" style="border-collapse: collapse;">
            <tr>
                <td style="padding: 20px; border: 1px solid #ddd;">
                    <div style="height: 800px; overflow: auto;">
                        {html_content}
                    </div>
                </td>
            </tr>
        </table>
        """
        
        os.remove(report_path)
        return html_with_table

def create_interface():
    analyzer = DataAnalyzer()
    
    with gr.Blocks(theme=gr.themes.Soft()) as demo:
        gr.Markdown("# Data Analysis Dashboard")
        
        with gr.Tabs():
            with gr.TabItem("Sweetviz Analysis"):
                file_input = gr.File(label="Upload CSV")
                report_html = gr.HTML()
            
            with gr.TabItem("Custom Analysis"):
                gr.Markdown("Custom analysis will be added here")
        
        def process_file(file):
            if file is None:
                return None
            
            try:
                df = pd.read_csv(file.name)
                return analyzer.generate_sweetviz_report(df)
            except Exception as e:
                return f"Error generating report: {str(e)}"
        
        file_input.change(
            fn=process_file,
            inputs=[file_input],
            outputs=[report_html]
        )
    
    return demo

if __name__ == "__main__":
    demo = create_interface()
    demo.launch(show_error=True)