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"""
{html_content}
""" 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)