Update app.py

app.py

@@ -186,16 +186,19 @@ def analyze_sentiment(asset_name):
         ax.plot(x, y, color='lightgray', linewidth=10, solid_capstyle='round', zorder=1)
         
         # Segments (Matching the image)
+        # Warna arc harus dicocokkan dengan gambar
+        
         # 1. Red: -1.0 to -0.5
         ax.fill_between(x[75:], y[75:], 0, where=x[75:]<=-0.5, color='#F08080', alpha=0.9, linewidth=0, zorder=2) 
-        # 2. Yellow/Orange: -0.5 to 0.0
+        # 2. Yellow/Orange: -0.5 to 0.0 (Ini adalah segmen yang terisi pada gambar untuk skor negatif)
         ax.fill_between(x[50:75], y[50:75], 0, where=x[50:75]<0, color='#FFD700', alpha=0.9, linewidth=0, zorder=2) 
         # 3. Light Gray: 0.0 to 0.5 (Neutral)
         ax.fill_between(x[25:50], y[25:50], 0, where=x[25:50]>0, color='#D3D3D3', alpha=0.9, linewidth=0, zorder=2)
         # 4. Light Green: 0.5 to 1.0
         ax.fill_between(x[:25], y[:25], 0, where=x[:25]>=0.5, color='#90EE90', alpha=0.9, linewidth=0, zorder=2)
         
-        # Draw Needle (Pointer) - Mengikuti warna kuning pada gambar referensi
+        
+        # Draw Needle (Pointer)
         needle_angle = np.pi * (1 - (sentiment_score + 1) / 2)
         needle_x = 0.8 * np.cos(needle_angle)
         needle_y = 0.8 * np.sin(needle_angle)
@@ -216,6 +219,7 @@ def analyze_sentiment(asset_name):
         
         # Trend indicator (panah bawah/atas kecil di bawah skor)
         trend_arrow = '▲' if sentiment_score > 0.0 else '▼' if sentiment_score < 0.0 else ''
+        # Text di bawah score (misalnya ▼-0.123)
         ax.text(0.0, -0.18, f"{trend_arrow}{abs(sentiment_score):.3f}", ha='center', va='center', 
                fontsize=14, color=score_color, zorder=7)
         
@@ -227,7 +231,7 @@ def analyze_sentiment(asset_name):
         ax.text(1, 0, "1", ha='center', va='top', fontsize=10, color='black')
         
         # Add Title
-        ax.set_title(f'{asset_name} Market Sentiment (Simulated)', color='black', pad=20)
+        ax.set_title(f'{ticker} Market Sentiment (Simulated)', color='black', pad=20)
         
         # Remove axes
         ax.axis('off')