Update app.py

app.py

@@ -1,9 +1,7 @@
 import gradio as gr
 import pandas as pd
 import yfinance as yf
-from datetime import datetime
 from utils import (
-    get_indonesian_stocks,
     calculate_technical_indicators,
     generate_trading_signals,
     get_fundamental_data,
@@ -18,11 +16,18 @@ warnings.filterwarnings("ignore")
 
 def analyze_stock(symbol, prediction_days=30):
     try:
+        if not symbol.strip():
+            raise ValueError("Please enter a valid stock symbol.")
+
+        if not symbol.endswith(".JK"):
+            symbol = symbol.upper() + ".JK"
+
         stock = yf.Ticker(symbol)
         data = stock.history(period="6mo", interval="1d")
+
         if data.empty:
-            raise ValueError("No price data available.")
-        
+            raise ValueError("No price data available for this stock.")
+
         indicators = calculate_technical_indicators(data)
         signals = generate_trading_signals(data, indicators)
         fundamental_info = get_fundamental_data(stock)
@@ -53,42 +58,42 @@ def update_analysis(symbol, prediction_days):
 
     if not fundamental_info:
         return (
-            "Data unavailable.",
+            "❌ Unable to fetch stock data.",
             gr.Plot.update(value=None),
             gr.Plot.update(value=None),
             gr.Plot.update(value=None),
             "",
-            "",
-            "",
-            "",
+            "0", "0", "0", ""
         )
 
     summary_text = f"""
-**{fundamental_info.get('name', 'N/A')} ({symbol})**
-- Current Price: Rp{fundamental_info.get('current_price', 0):,.2f}
-- Market Cap: {fundamental_info.get('market_cap', 0):,}
-- P/E Ratio: {fundamental_info.get('pe_ratio', 0):.2f}
-- Dividend Yield: {fundamental_info.get('dividend_yield', 0):.2f}%
-- Volume: {fundamental_info.get('volume', 0):,}
+### 🏢 {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):,}  
+**P/E Ratio:** {fundamental_info.get('pe_ratio', 0):.2f}  
+**Dividend Yield:** {fundamental_info.get('dividend_yield', 0):.2f}%  
+**Volume:** {fundamental_info.get('volume', 0):,}  
 """
 
     signal_text = f"""
-### Overall Signal: **{signals.get('overall', 'N/A')}**
-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}
+### 📈 Technical Trading Signal
+**Overall Signal:** {signals.get('overall', 'N/A')}  
+**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:**
 {signals.get('details', '')}
 """
 
     prediction_text = f"""
-### AI Forecast (Chronos-Bolt)
-Predicted High (30d): {predictions.get('high_30d', 0):,.2f}
-Predicted Low (30d): {predictions.get('low_30d', 0):,.2f}
-Expected Change (%): {predictions.get('change_pct', 0):.2f}%
-Prediction Analysis:
+### 🤖 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}  
+**Expected Change:** {predictions.get('change_pct', 0):.2f}%  
+
+🧠 **Model Insight:**  
 {predictions.get('summary', 'No analysis available')}
 """
 
@@ -104,17 +109,27 @@ Prediction Analysis:
         prediction_text,
     )
 
-stock_options = get_indonesian_stocks()
-
-with gr.Blocks(title="AI Stock Analysis (Chronos-Bolt Edition)", theme="soft") as app:
-    gr.Markdown("# 📊 AI Stock Analysis Dashboard (Chronos-Bolt Base Model)")
+with gr.Blocks(
+    title="AI Stock Forecast Dashboard",
+    theme=gr.themes.Soft(primary_hue="blue", secondary_hue="gray"),
+    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;}
+    """
+) 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")
 
     with gr.Row():
-        symbol = gr.Dropdown(
-            label="Select Stock",
-            choices=list(stock_options.keys()),
-            value="BBCA.JK",
+        symbol = gr.Textbox(
+            label="Stock Symbol",
+            value="BBCA",
+            placeholder="Type e.g. BBCA, ADRO, TLKM ...",
             interactive=True,
+            lines=1
         )
         prediction_days = gr.Slider(
             label="Prediction Period (Days)",
@@ -124,22 +139,29 @@ with gr.Blocks(title="AI Stock Analysis (Chronos-Bolt Edition)", theme="soft") a
             value=30,
             interactive=True,
         )
+        analyze_button = gr.Button("🚀 Analyze Stock", scale=0.5)
 
-    analyze_button = gr.Button("🔍 Analyze Stock")
+    gr.Markdown("---")
 
-    with gr.Tab("Fundamentals & Signals"):
-        fundamentals_output = gr.Markdown()
-        signal_output = gr.Markdown()
-
-    with gr.Tab("Charts"):
-        price_chart = gr.Plot()
-        technical_chart = gr.Plot()
-        prediction_chart = gr.Plot()
-
-    with gr.Tab("Predictions"):
-        predicted_high = gr.Textbox(label="Predicted High (30d)")
-        predicted_low = gr.Textbox(label="Predicted Low (30d)")
-        predicted_change = gr.Textbox(label="Expected Change (%)")
+    with gr.Row():
+        fundamentals_output = gr.Markdown(label="Fundamentals", scale=1)
+        signal_output = gr.Markdown(label="Trading Signals", scale=1)
+
+    gr.Markdown("---")
+
+    with gr.Tab("📊 Charts Overview"):
+        with gr.Row():
+            price_chart = gr.Plot(label="Price & Moving Averages")
+            technical_chart = gr.Plot(label="Technical Indicators")
+        gr.Markdown("---")
+        prediction_chart = gr.Plot(label="AI Forecast Projection")
+
+    with gr.Tab("🤖 AI Forecast Results"):
+        with gr.Row():
+            predicted_high = gr.Textbox(label="Predicted High (30d)", scale=1)
+            predicted_low = gr.Textbox(label="Predicted Low (30d)", scale=1)
+            predicted_change = gr.Textbox(label="Expected Change (%)", scale=1)
+        gr.Markdown("---")
         prediction_summary = gr.Markdown(label="Prediction Analysis")
 
     analyze_button.click(