Update app.py

app.py

@@ -4,31 +4,17 @@ import numpy as np
 import plotly.graph_objects as go
 import plotly.express as px
 import yfinance as yf
-import json
 import warnings
 warnings.filterwarnings('ignore')
 
-def load_model():
-    """Load model from JSON file"""
-    try:
-        with open('portfolio_risk_model.json', 'r') as f:
-            model = json.load(f)
-        print("✅ JSON model loaded successfully!")
-        return model
-    except Exception as e:
-        print(f"❌ Model loading failed: {str(e)}")
-        return None
-
-class FlexibleRiskApp:
+class SimpleRiskApp:
     def __init__(self):
-        self.model = load_model()
-        # More stock options including the trained ones
+        # Only 10 reliable stocks with correct names
         self.available_stocks = [
-            'AAPL', 'MSFT', 'GOOGL', 'AMZN', 'TSLA',  # Trained stocks
-            'META', 'NVDA', 'NFLX', 'JPM', 'JNJ',     # Additional popular stocks
-            'V', 'PG', 'DIS', 'BAC', 'XOM'            # More options
+            'AAPL', 'MSFT', 'GOOGL', 'AMZN', 'TSLA',
+            'META', 'NVDA', 'NFLX', 'JPM', 'JNJ'
         ]
-        print("🎯 Flexible Portfolio Risk Analyzer Ready!")
+        print("🎯 Simple Portfolio Risk Analyzer Ready!")
     
     def get_stock_data(self, symbols, period='2y'):
         """Get stock data with error handling"""
@@ -40,12 +26,14 @@ class FlexibleRiskApp:
             return None
     
     def calculate_portfolio_metrics(self, selected_stocks, days=252, simulations=5000):
-        """Calculate metrics for any combination of stocks"""
+        """Calculate metrics for selected stocks"""
         if not selected_stocks:
             return None, None
         
         try:
-            # Get fresh data for selected stocks
+            print(f"📊 Analyzing: {selected_stocks}")
+            
+            # Get fresh data
             data = self.get_stock_data(selected_stocks)
             if data is None or data.empty:
                 return None, None
@@ -66,8 +54,6 @@ class FlexibleRiskApp:
             if min_eig < 0:
                 cov_matrix -= 10 * min_eig * np.eye(*cov_matrix.shape)
             
-            print(f"🎯 Running MC simulation for {n_stocks} stock(s): {selected_stocks}")
-            
             # Generate simulation
             np.random.seed(42)
             L = np.linalg.cholesky(cov_matrix)
@@ -279,10 +265,10 @@ class FlexibleRiskApp:
         """
 
 # Create and launch app
-app = FlexibleRiskApp()
+app = SimpleRiskApp()
 
 with gr.Blocks(theme=gr.themes.Soft(), title="QuantRisk Pro") as demo:
-    gr.Markdown("# 📊 QuantRisk Pro - Flexible Portfolio Analyzer")
+    gr.Markdown("# 📊 QuantRisk Pro - Portfolio Risk Analyzer")
     gr.Markdown("**Analyze single stocks or multi-stock portfolios with real-time risk assessment**")
     
     with gr.Row():
@@ -292,8 +278,8 @@ with gr.Blocks(theme=gr.themes.Soft(), title="QuantRisk Pro") as demo:
             stock_checkboxes = gr.CheckboxGroup(
                 choices=app.available_stocks,
                 value=['AAPL', 'MSFT', 'GOOGL'],  # Default selection
-                label="**Select Stocks (1 or more)**",
-                info="Choose 1 stock for single analysis or multiple for portfolio"
+                label="**Select Stocks (Choose 1 or more)**",
+                info="Single stock or portfolio analysis"
             )
             
             simulation_days = gr.Slider(
@@ -308,19 +294,18 @@ with gr.Blocks(theme=gr.themes.Soft(), title="QuantRisk Pro") as demo:
             num_simulations = gr.Dropdown(
                 choices=[1000, 2500, 5000, 10000],
                 value=5000,
-                label="**Number of Simulations**",
-                info="More simulations = more accuracy"
+                label="**Number of Simulations**"
             )
             
             analyze_btn = gr.Button("🚀 Run Risk Analysis", variant="primary", size="lg")
             
             gr.Markdown("---")
             gr.Markdown("""
-            **💡 Usage Tips:**
-            - ✅ **Single Stock**: Select only 1 stock for individual analysis
-            - ✅ **Portfolio**: Select 2+ stocks for diversified portfolio  
-            - ✅ **Weights**: Automatically calculated as equal weights
-            - ✅ **Real Data**: Uses latest market data from Yahoo Finance
+            **💡 How to Use:**
+            - Select 1 stock for individual analysis
+            - Select 2+ stocks for portfolio analysis  
+            - Weights automatically calculated as equal
+            - Uses real market data from Yahoo Finance
             """)
         
         with gr.Column(scale=2):
@@ -330,8 +315,7 @@ with gr.Blocks(theme=gr.themes.Soft(), title="QuantRisk Pro") as demo:
                 value="""
                 <div style='text-align: center; padding: 50px; background: #f8f9fa; border-radius: 10px;'>
                     <h3 style='color: #6c757d;'>🚀 Ready to Analyze!</h3>
-                    <p>Select stocks and click 'Run Risk Analysis' to see your personalized risk report.</p>
-                    <p><strong>Single stocks and portfolios both supported!</strong></p>
+                    <p>Select stocks and click 'Run Risk Analysis' to see your risk report.</p>
                 </div>
                 """
             )
@@ -347,7 +331,7 @@ with gr.Blocks(theme=gr.themes.Soft(), title="QuantRisk Pro") as demo:
     gr.Markdown(
         """
         <div style="text-align: center; color: #666;">
-            <p>Built with ❤️ using Gradio | QuantRisk Pro v3.0 | Real-time market data</p>
+            <p>Built with ❤️ using Gradio | QuantRisk Pro | Real-time market data</p>
         </div>
         """
     )