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, "sweetviz_report.html")
        report.show_html(report_path, open_browser=False)
        
        with open(report_path, 'r', encoding='utf-8') as f:
            html_content = f.read()
            
            # Add custom CSS to hide unwanted elements and improve interactivity
            custom_css = """
            <style>
            .container {
                width: 100% !important;
                max-width: none !important;
                padding: 0 !important;
            }
            .nav-logo {
                display: none !important;
            }
            .dataframe {
                width: 100% !important;
            }
            .dataframe th {
                cursor: pointer;
            }
            </style>
            """
            html_content = custom_css + html_content
            
        os.remove(report_path)
        return html_content

def create_interface():
    analyzer = DataAnalyzer()
    
    with gr.Blocks(theme=gr.themes.Soft()) as demo:
        gr.Markdown("# Data Analysis Dashboard")
        
        file_input = gr.File(label="Upload CSV")
        report_html = gr.HTML()
        
        def process_file(file):
            if file is None:
                return None
            
            try:
                df = pd.read_csv(file.name)
                report = analyzer.generate_sweetviz_report(df)
                
                # Add wrapper div for better styling
                report_with_style = f"""
                <div style="height: 800px; overflow: auto; padding: 20px;">
                    {report}
                </div>
                """
                
                return report_with_style
                
            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
    )