Update app.py

app.py

@@ -28,7 +28,7 @@ def generate_plot(planned_cost_inr, actual_spend_inr, forecast_cost_inr):
     categories = ['Planned Cost', 'Actual Spend', 'Forecasted Cost']
     values = [planned_cost_inr, actual_spend_inr, forecast_cost_inr]
     bars = ax.bar(categories, values, color=['#1f77b4', '#ff7f0e', '#2ca02c'])
-    ax.set_title("Budget Overview", fontsize=14, pad=15)
+    ax.set_title("Budget Overrun Risk", fontsize=14, pad=15)
     ax.set_ylabel("Amount (₹)", fontsize=12)
     ax.tick_params(axis='x', rotation=45)
     ax.grid(True, axis='y', linestyle='--', alpha=0.7)
@@ -134,7 +134,7 @@ def predict_risk(planned_cost_inr, actual_spend_inr, category, cement_index, lab
     logger.debug(f"Starting prediction with inputs: planned_cost_inr={planned_cost_inr}, actual_spend_inr={actual_spend_inr}, "
                  f"category={category}, cement_index={cement_index}, labor_index={labor_index}, project_phase={project_phase}")
 
-    #-placeholder for risk calculation logic (simplified for demo)
+    # Placeholder for risk calculation logic (simplified for demo)
     total_risk = 1 if actual_spend_inr > planned_cost_inr else 0
     risk_percentage = total_risk * 100  # Convert to percentage (0% or 100%)
     forecast_cost_inr = planned_cost_inr * 2
@@ -181,7 +181,7 @@ def predict_risk(planned_cost_inr, actual_spend_inr, category, cement_index, lab
         f"[Chart displayed below]\n\n"
         f"Detailed Metrics\n"
         f"----------------------------------------\n"
-        f"Total Risk: {total_r r_risk}\n"
+        f"Total Risk: {total_risk}\n"
         f"Planned Cost: ₹{planned_cost_inr:,.2f}\n"
         f"Actual Spend: ₹{actual_spend_inr:,.2f}\n"
         f"Forecasted Cost: ₹{forecast_cost_inr:,.2f}\n"