Update app.py

app.py

@@ -9,7 +9,7 @@ from model_handler import ModelHandler
 from trading_logic import TradingLogic
 import io
 import base64
-import plotly.graph_objects as go
+import plotly.graph_objects as go # <--- TAMBAHAN INI
 
 # Global instances
 data_processor = DataProcessor()
@@ -165,39 +165,66 @@ def analyze_sentiment(asset_name):
     """Analyze market sentiment for selected asset"""
     try:
         ticker = asset_map[asset_name]
-        # FIX: Menggunakan fungsi yang benar dari sentiment_analyzer.py
         sentiment_score, news_summary = sentiment_analyzer.analyze_market_sentiment(ticker)
         
-        # --- Implementasi Plotly Gauge (sesuai referensi pengguna) ---
+        # --- Implementasi Plotly Gauge (Disesuaikan agar mirip gambar) ---
         
+        # Warna berdasarkan Ticker (dari sentiment_analyzer.py)
+        if ticker == "BTC-USD":
+            bar_color = "#FFA500" # Orange
+            pointer_color = "black"
+        else: # GC=F
+            bar_color = "#FFD700" # Gold
+            pointer_color = "black"
+
+        # Tentukan warna teks skor
+        score_color = 'red' if sentiment_score < 0 else 'green' if sentiment_score > 0 else 'black'
+
         fig = go.Figure(go.Indicator(
-            mode="gauge+number+delta",
+            mode="gauge+number",
             value=sentiment_score,
             domain={'x': [0, 1], 'y': [0, 1]},
-            title={'text': f"{ticker} Market Sentiment (Simulated)"},
-            delta={'reference': 0},
+            title={'text': f"{ticker} Market Sentiment (Simulated)", 'font': {'size': 20, 'color': 'black'}},
+            # Delta dihapus agar tidak muncul panah di bawah skor, skor utama yang diubah warnanya
+            
             gauge={
-                'axis': {'range': [-1, 1]},
-                'bar': {'color': "#FFD700"},
+                'axis': {'range': [-1, 1], 'tickwidth': 1, 'tickcolor': "black"},
+                
+                # JANGAN menggunakan bar color, kita menggunakan threshold dan steps untuk jarum
+                'bar': {'color': "rgba(0,0,0,0)"}, # Bar dibuat transparan agar terlihat segmen
+                
+                # Steps (Segments)
                 'steps': [
-                    {'range': [-1, -0.5], 'color': "rgba(255,0,0,0.5)"}, # Merah (Bearish)
-                    {'range': [-0.5, 0.5], 'color': "rgba(100,100,100,0.3)"}, # Abu-abu (Neutral)
-                    {'range': [0.5, 1], 'color': "rgba(0,255,0,0.5)"} # Hijau (Bullish)
+                    {'range': [-1, -0.5], 'color': "rgba(255, 99, 71, 1.0)"}, # Merah (Bearish kuat)
+                    {'range': [-0.5, 0], 'color': "rgba(255, 223, 0, 1.0)"}, # Kuning (Bearish/Netral lemah)
+                    {'range': [0, 0.5], 'color': "rgba(211, 211, 211, 1.0)"}, # Abu-abu (Netral/Bullish lemah)
+                    {'range': [0.5, 1], 'color': "rgba(144, 238, 144, 1.0)"} # Hijau (Bullish kuat)
                 ],
+                
+                # Threshold digunakan untuk jarum/pointer
                 'threshold': {
-                    'line': {'color': "black", 'width': 4},
+                    'line': {'color': pointer_color, 'width': 3},
                     'thickness': 0.75,
-                    'value': 0
-                }
-            }
+                    'value': sentiment_score
+                },
+                
+                # Outline diubah menjadi abu-abu
+                'bgcolor': "lightgray",
+                'bordercolor': "lightgray",
+                'borderwidth': 1
+            },
+            # Format Angka (mengganti warna angka utama)
+            number={'font': {'color': score_color, 'size': 50}, 'valueformat': '.3f'}
         ))
         
         fig.update_layout(
             template='plotly_white',
             height=300,
+            # Mengganti warna background menjadi putih untuk menyatu dengan Gradio
             paper_bgcolor='white', 
             plot_bgcolor='white',
-            font=dict(color='black')
+            font=dict(color='black'),
+            margin=dict(l=10, r=10, t=50, b=10)
         )
         
         return fig, news_summary