Upload app_space_wow.py

app_space_wow.py

@@ -151,28 +151,99 @@ def run_pipeline(scenario_key: str):
     buf1.seek(0)
     signal_img = mpimg.imread(buf1)
 
-    # Energy bar chart
-    fig2, ax = plt.subplots(figsize=(10, 4))
-    categories = ['Baseline\n(No Gating)', 'Sundew\n(With Gating)']
+    # Energy bar chart - Enhanced version
+    fig2 = plt.figure(figsize=(12, 7))
+    gs = fig2.add_gridspec(2, 2, height_ratios=[2, 1], hspace=0.4, wspace=0.3)
+
+    # Main comparison chart
+    ax1 = fig2.add_subplot(gs[0, :])
+    categories = ['Baseline\n(Traditional ML)', 'Sundew\n(Neurosymbolic)']
     compute = [100, gating_meta.get("ratio", 1.0) * 100]
     colors = ['#e74c3c', '#2ecc71']
 
-    bars = ax.barh(categories, compute, color=colors, edgecolor='black', linewidth=1.5)
-    ax.set_xlabel('Compute Used (%)', fontsize=12, fontweight='bold')
-    ax.set_xlim(0, 110)
+    bars = ax1.barh(categories, compute, color=colors, edgecolor='white', linewidth=2, height=0.6)
+
+    # Add gradient-like effect with alpha
+    for bar, color in zip(bars, colors):
+        bar.set_alpha(0.85)
 
+    ax1.set_xlabel('Computational Load (%)', fontsize=13, fontweight='bold', color='#2c3e50')
+    ax1.set_xlim(0, 115)
+    ax1.set_facecolor('#f8f9fa')
+
+    # Value labels on bars
     for bar, val in zip(bars, compute):
-        ax.text(val + 2, bar.get_y() + bar.get_height()/2,
-                f'{val:.1f}%', va='center', fontsize=12, fontweight='bold')
+        ax1.text(val + 1.5, bar.get_y() + bar.get_height()/2,
+                f'{val:.1f}%', va='center', fontsize=14, fontweight='bold', color='#2c3e50')
+
+    # Dramatic savings callout
+    ax1.text(57, 1.75, f'{energy_saved:.1f}%',
+            ha='center', fontsize=32, fontweight='bold', color='#27ae60')
+    ax1.text(57, 1.5, 'ENERGY SAVED',
+            ha='center', fontsize=11, fontweight='bold', color='#27ae60', alpha=0.8)
+
+    # Add arrow showing reduction
+    ax1.annotate('', xy=(compute[1], 0.5), xytext=(compute[0], 0.5),
+                arrowprops=dict(arrowstyle='->', lw=3, color='#f39c12', alpha=0.7))
+
+    ax1.set_title('Computational Efficiency Comparison', fontsize=15, fontweight='bold',
+                 pad=15, color='#2c3e50')
+    ax1.spines['top'].set_visible(False)
+    ax1.spines['right'].set_visible(False)
+    ax1.spines['left'].set_linewidth(1.5)
+    ax1.spines['bottom'].set_linewidth(1.5)
+
+    # Bottom left - Battery life impact
+    ax2 = fig2.add_subplot(gs[1, 0])
+    battery_baseline = 24  # hours
+    battery_sundew = battery_baseline / gating_meta.get("ratio", 1.0)
+    battery_data = [battery_baseline, battery_sundew]
+    battery_colors = ['#e74c3c', '#2ecc71']
+
+    bars2 = ax2.bar(['Baseline', 'Sundew'], battery_data, color=battery_colors,
+                    edgecolor='white', linewidth=2, alpha=0.85)
+    ax2.set_ylabel('Battery Life (hours)', fontsize=11, fontweight='bold')
+    ax2.set_ylim(0, max(battery_data) * 1.2)
+    ax2.set_title('Battery Life Extension', fontsize=12, fontweight='bold', color='#2c3e50')
+
+    for bar, val in zip(bars2, battery_data):
+        height = bar.get_height()
+        ax2.text(bar.get_x() + bar.get_width()/2, height + 5,
+                f'{val:.0f}h', ha='center', fontsize=11, fontweight='bold')
+
+    ax2.set_facecolor('#f8f9fa')
+    ax2.spines['top'].set_visible(False)
+    ax2.spines['right'].set_visible(False)
+
+    # Bottom right - Cost & environmental impact
+    ax3 = fig2.add_subplot(gs[1, 1])
+    ax3.axis('off')
+    ax3.set_facecolor('#f8f9fa')
+
+    # Impact metrics
+    daily_savings_kwh = 0.024 * (energy_saved / 100)  # Assume 24Wh baseline daily consumption
+    annual_co2_kg = daily_savings_kwh * 365 * 0.5  # ~0.5 kg CO2 per kWh
+
+    impact_text = f"""
+Impact per Device (Annual):
+
+Energy Saved: {daily_savings_kwh * 365:.1f} kWh
+CO2 Reduced: {annual_co2_kg:.1f} kg
+Cost Savings: ${daily_savings_kwh * 365 * 0.12:.2f}
+
+Scaling to 10,000 devices:
+Energy: {daily_savings_kwh * 365 * 10000 / 1000:.1f} MWh/year
+CO2: {annual_co2_kg * 10000 / 1000:.1f} tonnes/year
+    """
 
-    ax.text(55, 1.6, f'Energy Savings: {energy_saved:.1f}%',
-            ha='center', fontsize=14, fontweight='bold',
-            bbox=dict(boxstyle='round,pad=0.8', facecolor='#f39c12', alpha=0.8))
+    ax3.text(0.1, 0.95, impact_text.strip(),
+            fontsize=10, verticalalignment='top', fontfamily='monospace',
+            bbox=dict(boxstyle='round,pad=0.8', facecolor='#fff3cd',
+                     edgecolor='#f39c12', linewidth=2, alpha=0.9))
 
-    ax.set_title('Computational Efficiency', fontsize=14, fontweight='bold')
-    ax.spines['top'].set_visible(False)
-    ax.spines['right'].set_visible(False)
-    fig2.tight_layout()
+    fig2.patch.set_facecolor('white')
+    fig2.suptitle('Sundew Energy Efficiency Analysis', fontsize=16, fontweight='bold',
+                 y=0.98, color='#2c3e50')
 
     buf2 = io.BytesIO()
     fig2.savefig(buf2, format='png', dpi=150, bbox_inches='tight')