Upload app.py

app.py

@@ -0,0 +1,74 @@
+import gradio as gr
+from performance_analyzer import CollegePerformanceAnalyzer
+
+def run_performance_analysis(seed: int = None, use_ai_insights: bool = True):
+    """
+    Main function to orchestrate college performance analysis.
+    
+    Args:
+        seed (int, optional): Random seed for reproducible results
+        use_ai_insights (bool): Toggle AI-generated strategic insights
+    
+    Returns:
+        Comprehensive performance analysis report
+    """
+    # Initialize performance analyzer
+    analyzer = CollegePerformanceAnalyzer()
+    
+    # Generate performance scores
+    parameters = analyzer.generate_performance_scores(seed)
+    
+    # Calculate comprehensive metrics
+    analysis_results = analyzer.calculate_weighted_metrics(parameters)
+    
+    # Generate feedback based on user preference
+    ai_feedback = (
+        analyzer.generate_ai_feedback(analysis_results) 
+        if use_ai_insights 
+        else analyzer._generate_manual_feedback(analysis_results)
+    )
+    
+    # Combine performance report with strategic insights
+    report = f"""
+    # 🎓 College Performance Analysis Report
+
+    ## Performance Metrics
+
+    {' '.join([
+        f"**{details['full_name']}**: {details['score']}/100 "
+        for param, details in analysis_results['parameters'].items()
+    ])}
+
+    ## Overall Performance
+
+    - **Total Weighted Score**: {analysis_results['total_weighted_score']:.2f}
+    - **Predicted NIRF Rank**: {analysis_results['nirf_rank']}
+    - **Institutional Rating**: {analysis_results['overall_rating']}/5
+
+    ## Strategic Insights
+
+    {ai_feedback}
+    """
+    
+    return report
+
+def create_gradio_interface():
+    """
+    Create interactive Gradio web interface for performance analysis.
+    """
+    iface = gr.Interface(
+        fn=run_performance_analysis,
+        inputs=[
+            gr.Number(label="Random Seed (Optional)", precision=0, optional=True),
+            gr.Checkbox(label="Generate AI Insights", value=True)
+        ],
+        outputs=gr.Markdown(label="Performance Analysis Report"),
+        title="🏫 College Performance Analyzer",
+        description="Generate comprehensive performance insights with optional AI-powered strategic analysis.",
+        theme="default"
+    )
+    return iface
+
+if __name__ == "__main__":
+    interface = create_gradio_interface()
+    interface.launch()