Update app.py

app.py

@@ -20,7 +20,7 @@ def create_chart_analysis(ticker, interval):
         # Panggil fungsi data yang sudah diperbarui
         df = data_processor.get_market_data(ticker, interval)
         if df.empty:
-            return "No data available", None, None
+            return "No data available", None
         
         # Hitung indikator
         df = data_processor.calculate_indicators(df)
@@ -63,7 +63,7 @@ def create_chart_analysis(ticker, interval):
             "Volume": f"{df['Volume'].iloc[-1]:,.0f}"
         }
         
-        # Kita tidak lagi membuat pred_fig karena sudah dihapus dari layout
+        # FIX: Hanya mengembalikan 2 output untuk Chart Analysis
         return chart_html, metrics
         
     except Exception as e:
@@ -71,14 +71,13 @@ def create_chart_analysis(ticker, interval):
 
 def analyze_sentiment(ticker):
     """Analyze gold/crypto market sentiment"""
-    sentiment_score = np.random.uniform(-0.5, 0.5) # Dummy score since old analyzer is mocked
+    sentiment_score = np.random.uniform(-0.5, 0.5) 
     
     # Mock news summary
     news_html = "<div style='max-height: 200px; overflow-y: auto; color: black;'>"
     news_html += f"<h4 style='color: #FFD700;'>Latest {ticker} News (Mock)</h4>"
     news_html += "</div>"
 
-    # ... (Logika Gauge Chart, tetap sama)
     fig = go.Figure(go.Indicator(
         mode="gauge+number+delta",
         value=sentiment_score,
@@ -102,10 +101,8 @@ def analyze_sentiment(ticker):
     ))
     
     fig.update_layout(
-        # Tema Putih
         template='plotly_white',
         height=300,
-        # Warna background figure diubah menjadi terang
         paper_bgcolor='#f0f4f9', 
         plot_bgcolor='#f0f4f9',
         font=dict(color='black')
@@ -116,7 +113,6 @@ def analyze_sentiment(ticker):
 def get_fundamentals(ticker):
     """Get fundamental analysis data"""
     try:
-        # Panggil fungsi fundamental data yang sudah diperbarui (tetap mock)
         fundamentals = data_processor.get_fundamental_data(ticker)
         
         # Buat fundamentals table
@@ -153,10 +149,8 @@ def get_fundamentals(ticker):
         ))
         
         fig.update_layout(
-            # Tema Putih
             template='plotly_white',
             height=300,
-            # Warna background figure diubah menjadi terang
             paper_bgcolor='#f0f4f9', 
             plot_bgcolor='#f0f4f9',
             font=dict(color='black')
@@ -171,7 +165,6 @@ def get_fundamentals(ticker):
 with gr.Blocks(
     theme=gr.themes.Default(primary_hue="yellow", secondary_hue="yellow"),
     title="Ultimate Market Analysis & Prediction",
-    # CSS diubah ke tema terang (#f0f4f9 sebagai background)
     css="""
         .gradio-container {background-color: #f0f4f9; color: black}
         .gr-button-primary {background-color: #FFD700 !important; color: #000000 !important}
@@ -180,7 +173,6 @@ with gr.Blocks(
         .gr-tab button.selected {background-color: #FFD700 !important; color: #000000 !important}
         .gr-highlighted {background-color: #CCCCCC !important}
         .anycoder-link {color: #FFD700 !important; text-decoration: none; font-weight: bold}
-        /* Custom CSS untuk chart MPLFinance agar tampil penuh */
         .mpl-chart-container {
             border: 1px solid #CCCCCC; 
             border-radius: 5px; 
@@ -188,7 +180,6 @@ with gr.Blocks(
             background: white; 
             width: 100%;
         }
-        /* Mengatasi teks Plotly di tema terang */
         .chart-title {color: black !important;}
         .metric-label {color: black !important;}
     """
@@ -225,7 +216,6 @@ with gr.Blocks(
             chart_html = gr.HTML(label="Price Chart & Indicators", elem_classes=["mpl-chart-container"])
             
             with gr.Row():
-                # Menghapus pred_plot yang kosong
                 metrics_output = gr.JSON(label="Trading Metrics")
         
         with gr.TabItem("堂 Sentiment Analysis"):
@@ -244,22 +234,22 @@ with gr.Blocks(
     
     # Event handlers
     def update_all(ticker, interval):
-        # Hanya mengembalikan 2 output untuk Chart Analysis: chart_html dan metrics
+        # FIX: create_chart_analysis sekarang hanya mengembalikan 2 output
         chart, metrics = create_chart_analysis(ticker, interval)
         sentiment_gauge, news_display = analyze_sentiment(ticker)
         fund_gauge, fund_table = get_fundamentals(ticker)
         
-        # Harus mengembalikan 3 nilai untuk tab Chart Analysis (chart, metrics, plot yang dihapus)
-        # Kami mengembalikan None untuk plot yang dihapus agar Gradio tidak error mapping outputs
-        return chart, metrics, None, sentiment_gauge, news_display, fund_gauge, fund_table
+        # Total 5 outputs Gradio components
+        return chart, metrics, sentiment_gauge, news_display, fund_gauge, fund_table
     
-    # OUTPUTS: chart_html, metrics_output, (None untuk pred_plot), sentiment_gauge, news_display, fundamentals_gauge, fundamentals_table
+    # OUTPUTS: chart_html, metrics_output, sentiment_gauge, news_display, fundamentals_gauge, fundamentals_table
     
+    # FIX: Menghapus output pred_plot (diganti dengan None) dan menyesuaikan list outputs
     refresh_btn.click(
         fn=update_all,
         inputs=[ticker_dropdown, interval_dropdown],
         outputs=[
-            chart_html, metrics_output, None,
+            chart_html, metrics_output,
             sentiment_gauge, news_display,
             fundamentals_gauge, fundamentals_table
         ]
@@ -269,7 +259,7 @@ with gr.Blocks(
         fn=update_all,
         inputs=[ticker_dropdown, interval_dropdown],
         outputs=[
-            chart_html, metrics_output, None,
+            chart_html, metrics_output,
             sentiment_gauge, news_display,
             fundamentals_gauge, fundamentals_table
         ]