Update app.py

app.py

@@ -320,7 +320,51 @@ bot_inputs = [
 ]
 
 
+# Interface =============================================
+
 with gr.Blocks() as demo:
+    with gr.Tab("Portfolio Analysis"):
+        with gr.Blocks() as app:
+            with gr.Row():
+                gr.HTML("<h1>Bohmian's Stock Portfolio Optimizer</h1>")
+            
+            with gr.Row():
+                start_date = gr.Textbox("2013-01-01", label="Start Date")
+                end_date = gr.Textbox(datetime.datetime.now().date(), label="End Date")
+            
+            with gr.Row():        
+                tickers_string = gr.Textbox("MA,META,V,AMZN,JPM,BA", 
+                                            label='Enter all stock tickers to be included in portfolio separated \
+                                            by commas WITHOUT spaces, e.g. "MA,META,V,AMZN,JPM,BA"')
+                btn = gr.Button("Get Optimized Portfolio")
+               
+            with gr.Row():
+                gr.HTML("<h3>Optimizied Portfolio Metrics</h3>")
+                
+            with gr.Row():
+                expected_annual_return = gr.Text(label="Expected Annual Return")
+                annual_volatility = gr.Text(label="Annual Volatility")
+                sharpe_ratio = gr.Text(label="Sharpe Ratio")            
+           
+            with gr.Row():        
+                fig_cum_returns_optimized = gr.Plot(label="Cumulative Returns of Optimized Portfolio (Starting Price of $100)")
+                weights_df = gr.DataFrame(label="Optimized Weights of Each Ticker")
+                
+            with gr.Row():
+                fig_efficient_frontier = gr.Plot(label="Efficient Frontier")
+                fig_corr = gr.Plot(label="Correlation between Stocks")
+            
+            with gr.Row():
+                fig_indiv_prices = gr.Plot(label="Price of Individual Stocks")
+                fig_cum_returns = gr.Plot(label="Cumulative Returns of Individual Stocks Starting with $100")
+        
+            btn.click(fn=output_results, inputs=[start_date, end_date, tickers_string], 
+                      outputs=[fig_cum_returns_optimized, weights_df, fig_efficient_frontier, fig_corr,   \
+                    expected_annual_return, annual_volatility, sharpe_ratio, fig_indiv_prices, fig_cum_returns])
+
+
+
+    
     with gr.Tab("Company Analysis"):
         gr.HTML(TITLE1)