Update app.py

app.py

@@ -66,7 +66,7 @@ def update_analysis(symbol, prediction_days):
             "0", "0", "0", ""
         )
 
-    summary_text = f"""
+    fundamentals = f"""
 ### 🏢 {fundamental_info.get('name', 'N/A')} ({symbol.upper()})
 **Current Price:** Rp{fundamental_info.get('current_price', 0):,.2f}  
 **Market Cap:** {fundamental_info.get('market_cap', 0):,}  
@@ -75,22 +75,22 @@ def update_analysis(symbol, prediction_days):
 **Volume:** {fundamental_info.get('volume', 0):,}  
 """
 
-    signal_text = f"""
-### 📈 Technical Trading Signal
-**Overall Signal:** {signals.get('overall', 'N/A')}  
-**Strength:** {signals.get('strength', 0):.2f}%  
+    trading_signal = f"""
+### 📊 Technical Signal Summary
+**Overall Trend:** {signals.get('overall', 'N/A')}  
+**Signal Strength:** {signals.get('strength', 0):.2f}%  
 **Support:** {signals.get('support', 0):,.2f}  
 **Resistance:** {signals.get('resistance', 0):,.2f}  
 **Stop Loss:** {signals.get('stop_loss', 0):,.2f}  
 
-**Signal Details:**
+**Detailed Insights:**
 {signals.get('details', '')}
 """
 
-    prediction_text = f"""
-### 🤖 AI Forecast (Amazon Chronos-Bolt)
-**Predicted High (30d):** Rp{predictions.get('high_30d', 0):,.2f}  
-**Predicted Low (30d):** Rp{predictions.get('low_30d', 0):,.2f}  
+    prediction = f"""
+### 🤖 30-Day AI Forecast (Amazon Chronos-Bolt)
+**Predicted High:** Rp{predictions.get('high_30d', 0):,.2f}  
+**Predicted Low:** Rp{predictions.get('low_30d', 0):,.2f}  
 **Expected Change:** {predictions.get('change_pct', 0):.2f}%  
 
 🧠 **Model Insight:**  
@@ -98,83 +98,85 @@ def update_analysis(symbol, prediction_days):
 """
 
     return (
-        summary_text,
+        fundamentals,
+        trading_signal,
         fig_price,
         fig_technical,
         fig_prediction,
-        signal_text,
         f"{predictions.get('high_30d', 0):,.2f}",
         f"{predictions.get('low_30d', 0):,.2f}",
         f"{predictions.get('change_pct', 0):.2f}%",
-        prediction_text,
+        prediction,
     )
 
 with gr.Blocks(
-    title="AI Stock Forecast Dashboard",
-    theme=gr.themes.Soft(primary_hue="blue", secondary_hue="gray"),
+    title="RexPro Financial AI Dashboard",
+    theme=gr.themes.Soft(primary_hue="cyan", secondary_hue="emerald"),
     css="""
-        #dashboard {padding: 20px; max-width: 1300px; margin: auto;}
-        .gradio-container {font-family: 'Inter', sans-serif;}
-        h1, h2, h3 {color: #1e293b;}
-        .gr-button {font-weight: 600; border-radius: 8px;}
-        .gr-markdown {background: #f8fafc; border-radius: 10px; padding: 15px;}
+        body {background-color: #0f172a; color: #e2e8f0; font-family: 'Inter', sans-serif;}
+        h1, h2, h3 {color: #22d3ee;}
+        .gr-markdown {background-color: #1e293b; border-radius: 12px; padding: 18px; color: #e2e8f0;}
+        .gr-button {background: linear-gradient(90deg, #06b6d4, #14b8a6); color: white !important; font-weight: 600; border-radius: 10px;}
+        .gr-textbox label, .gr-slider label {color: #a5f3fc;}
+        .gr-textbox input, .gr-slider {background-color: #1e293b; color: white;}
+        .gr-plot {background-color: #1e293b; border-radius: 12px;}
     """
 ) as app:
-    gr.Markdown("# ⚡ AI Stock Analysis Dashboard — Chronos-Bolt Edition", elem_id="dashboard")
-    gr.Markdown("Enter any **Indonesian stock ticker** (e.g., `BBCA`, `ADRO`, `TLKM`, `BMRI`) to get live market insights and AI-based 30-day forecasts.", elem_id="dashboard")
+    gr.Markdown("# 💹 REXPRO FINANCIAL AI DASHBOARD")
+    gr.Markdown("Smart market insights powered by **Chronos-Bolt AI** — for serious investors and analysts.", elem_id="subheader")
 
-    with gr.Row():
+    with gr.Row(equal_height=True):
         symbol = gr.Textbox(
-            label="Stock Symbol",
+            label="Stock Symbol (IDX)",
             value="BBCA",
-            placeholder="Type e.g. BBCA, ADRO, TLKM ...",
+            placeholder="Example: BBCA, TLKM, ADRO, BMRI ...",
             interactive=True,
-            lines=1
+            lines=1,
         )
         prediction_days = gr.Slider(
-            label="Prediction Period (Days)",
+            label="Forecast Period (Days)",
             minimum=5,
             maximum=60,
             step=5,
             value=30,
             interactive=True,
         )
-        analyze_button = gr.Button("🚀 Analyze Stock")
+        analyze_button = gr.Button("🚀 Run Analysis")
 
     gr.Markdown("---")
 
     with gr.Row():
-        with gr.Column():
-            fundamentals_output = gr.Markdown(label="Fundamentals")
-        with gr.Column():
-            signal_output = gr.Markdown(label="Trading Signals")
+        with gr.Column(scale=1):
+            fundamentals_output = gr.Markdown()
+        with gr.Column(scale=1):
+            signal_output = gr.Markdown()
 
     gr.Markdown("---")
 
-    with gr.Tab("📊 Charts Overview"):
+    with gr.Tab("📈 Market Charts"):
         with gr.Row():
             price_chart = gr.Plot(label="Price & Moving Averages")
-            technical_chart = gr.Plot(label="Technical Indicators")
+            technical_chart = gr.Plot(label="Technical Indicators Overview")
         gr.Markdown("---")
         prediction_chart = gr.Plot(label="AI Forecast Projection")
 
-    with gr.Tab("🤖 AI Forecast Results"):
+    with gr.Tab("🤖 AI Forecast Summary"):
         with gr.Row():
-            predicted_high = gr.Textbox(label="Predicted High (30d)")
-            predicted_low = gr.Textbox(label="Predicted Low (30d)")
-            predicted_change = gr.Textbox(label="Expected Change (%)")
+            predicted_high = gr.Textbox(label="Predicted High (30d)", interactive=False)
+            predicted_low = gr.Textbox(label="Predicted Low (30d)", interactive=False)
+            predicted_change = gr.Textbox(label="Expected Change (%)", interactive=False)
         gr.Markdown("---")
-        prediction_summary = gr.Markdown(label="Prediction Analysis")
+        prediction_summary = gr.Markdown()
 
     analyze_button.click(
         fn=update_analysis,
         inputs=[symbol, prediction_days],
         outputs=[
             fundamentals_output,
+            signal_output,
             price_chart,
             technical_chart,
             prediction_chart,
-            signal_output,
             predicted_high,
             predicted_low,
             predicted_change,