Update app.py

app.py

@@ -107,6 +107,24 @@ tickers_info="""
         - **QQQ:** Invesco QQQ Trust
         - **IWM:** iShares Russell 2000 ETF
         """
+examples = """This table demonstrates examples of stock forecasts you can generate using the application:
+
+| Ticker | Period | Interval |
+|---|---|---|
+| AAPL | 2mo | 1d |
+| GOOG | 1y | 1d |
+| MSFT | 5y | 1wk |
+| TSLA | max | 1h |
+| AMZN | 1y | 1h |
+| NVDA | 3mo | 1d |
+| FB | 1y | 1wk |
+| JNJ | 2y | 1d |
+| BAC | 6mo | 1d |
+| XOM | 1y | 1wk |
+
+To generate a forecast for a specific stock, simply enter the ticker symbol, desired period, and interval into the interface.
+"""
+
 with gr.Blocks() as demo:
     gr.Interface(
         forecast_stock,  # Function to execute on submit
@@ -117,22 +135,14 @@ with gr.Blocks() as demo:
             
         ],
         "plot",  # Output type
-          # Disable live updates
+        live=False,  # Disable live updates
         title="Stock Price Forecast",
         description="Enter a stock ticker, desired data period, and interval to generate a forecast.",
-        examples = [
-        ["AAPL", "2mo", "1d"],  # Apple stock, data for 2 months, daily intervals
-        ["GOOG", "1y", "1d"],   # Google stock, data for 1 year, daily intervals
-        ["MSFT", "5y", "1wk"],  # Microsoft stock, data for 5 years, weekly intervals
-        ["TSLA", "max", "1h"],  # Tesla stock, maximum available data, hourly intervals
-        ["AMZN", "1y", "1h"],   # Amazon stock, data for 1 year, hourly intervals
-        ["NVDA", "3mo", "1d"],  # NVIDIA stock, data for 3 months, daily intervals
-        ["FB", "1y", "1wk"],    # Meta Platforms (Facebook) stock, data for 1 year, weekly intervals
-        ["JNJ", "2y", "1d"],    # Johnson & Johnson stock, data for 2 years, daily intervals
-        ["BAC", "6mo", "1d"],   # Bank of America stock, data for 6 months, daily intervals
-        ["XOM", "1y", "1wk"],   # Exxon Mobil stock, data for 1 year, weekly intervals
-        ]
+        
     )
+    with gr.Accordion("Example Stock Forecasts"):
+        gr.Markdown(examples)
+
     with gr.Accordion("Open for More info"):
         gr.Markdown(tickers_info)