Upload graphs.py

graphs.py

@@ -106,14 +106,14 @@ def create_addiction_gauge_chart(result):
     # Reduce round dot size by 50% (from 10 to 5)
     ax.plot(needle_angle, 1.2, 'ko', markersize=5, markeredgecolor='white', markeredgewidth=2)
     ax.set_title(f'Addiction Score Gauge\nPredicted: {predicted_score:.1f}/10',
-                fontsize=6, fontweight='bold', pad=10)
+                fontsize=8, fontweight='bold', pad=10)
     ax.set_xticks([])
     ax.set_yticks([])
     ax.set_ylim(0, 1.3)
     # Flip the gauge by adjusting text positions and angles
-    ax.text(np.pi, 1.4, 'Low\n(1-3)', ha='center', va='center', fontsize=6, fontweight='bold')
-    ax.text(np.pi/2, 1.4, 'Moderate\n(3-7)', ha='center', va='center', fontsize=6, fontweight='bold')
-    ax.text(0, 1.4, 'High\n(7-10)', ha='center', va='center', fontsize=6, fontweight='bold')
+    ax.text(np.pi, 1.4, 'Low\n(1-3)', ha='center', va='center', fontsize=3, fontweight='bold')
+    ax.text(np.pi/2, 1.4, 'Moderate\n(3-7)', ha='center', va='center', fontsize=3, fontweight='bold')
+    ax.text(0, 1.4, 'High\n(7-10)', ha='center', va='center', fontsize=3, fontweight='bold')
     if 'confidence' in result:
         confidence = result['confidence']
         ax.text(0, -0.3, f'Confidence: {confidence:.2f}', ha='center', va='center',