Update app.py

app.py

@@ -15,6 +15,28 @@ class DataAnalyzer:
         
         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
 
@@ -24,48 +46,33 @@ def create_interface():
     with gr.Blocks(theme=gr.themes.Soft()) as demo:
         gr.Markdown("# Data Analysis Dashboard")
         
-        with gr.Row():
-            file_input = gr.File(label="Upload CSV")
-            dataset_info = gr.JSON(label="Dataset Information")
-        
-        # Correct HTML component initialization
-        report_html = gr.HTML(label="Analysis Report")
+        file_input = gr.File(label="Upload CSV")
+        report_html = gr.HTML()
         
         def process_file(file):
             if file is None:
-                return None, None
+                return None
             
             try:
                 df = pd.read_csv(file.name)
-                
-                # Basic dataset info
-                info = {
-                    "Rows": len(df),
-                    "Columns": len(df.columns),
-                    "Memory Usage (MB)": round(df.memory_usage(deep=True).sum() / 1024**2, 2),
-                    "Missing Values": df.isnull().sum().sum(),
-                    "Column Types": df.dtypes.astype(str).to_dict()
-                }
-                
-                # Generate Sweetviz report
                 report = analyzer.generate_sweetviz_report(df)
                 
-                # Add custom CSS to control height
+                # Add wrapper div for better styling
                 report_with_style = f"""
-                <div style="height: 800px; overflow: auto;">
+                <div style="height: 800px; overflow: auto; padding: 20px;">
                     {report}
                 </div>
                 """
                 
-                return info, report_with_style
+                return report_with_style
                 
             except Exception as e:
-                return {"error": str(e)}, f"Error generating report: {str(e)}"
+                return f"Error generating report: {str(e)}"
         
         file_input.change(
             fn=process_file,
             inputs=[file_input],
-            outputs=[dataset_info, report_html]
+            outputs=[report_html]
         )
     
     return demo