Update app.py

app.py

@@ -119,7 +119,13 @@ iface = gr.Interface(
                 In the Kaggle Notebook, <a href = "https://www.kaggle.com/code/lusfernandotorres/volatility-based-supply-and-demand-levels/notebook">Volatility-Based Supply & Demand Levels Forecasting</a>, you can read further on how these supply and demand levels are calculated. <br><br>
                 <b>Intructions</b><br>
                 Enter the ticker of a security as it is displayed on Yahoo Finance. Then inform a year of reference. <br>
-                The supply and demand levels are forecastings for the following year. If you inform <i>2022</i> as input, the plot will contain the forecastings for <i>2023</i>.""",
+                The supply and demand levels are forecastings for the following year. If you inform <i>2022</i> as input, the plot will contain the forecastings for <i>2023</i>. <br><br>
+                
+                • Dot lines represent one standard deviation (68.7% probability). <br>
+
+                • Dash lines represent two standard deviations (95.4% probability). <br>
+
+                • Dash and dot lines represent three standard deviations (99.7% probability).""",
     fn=wrapper_func,
     inputs=[
         gr.Textbox(label="Enter the Ticker as it Appears on Yahoo Finance"),