Update app.py

app.py

@@ -115,13 +115,11 @@ def wrapper_func(ticker, reference_year):
 
 iface = gr.Interface(
     title = '📈 Volatility-Based Supply and Demand Levels 📉',
-    description="""<br> The ideas presented in this app are based on the research paper <a href = "https://www.outspokenmarket.com/uploads/8/8/2/3/88233040/supply_and_demand_levels_forecasting_based_on_returns_volatility.pdf">Supply and Demand Levels Forecasting Based on Returns Volatility</a>,<br>
-    authores by <a href = "https://www.outspokenmarket.com/">Leandro Guerra</a>. <br>
-                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>, <br>
-                you can read further on how these supply and demand levels are calculated. <br><br>
+    description="""<br> The ideas presented in this app are based on the research paper <a href = "https://www.outspokenmarket.com/uploads/8/8/2/3/88233040/supply_and_demand_levels_forecasting_based_on_returns_volatility.pdf">Supply and Demand Levels Forecasting Based on Returns Volatility</a>,authored by <a href = "https://www.outspokenmarket.com/">Leandro Guerra</a>. <br>
+                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, enter 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 2023.""",
+                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>.""",
     fn=wrapper_func,
     inputs=[
         gr.Textbox(label="Enter the Ticker as it Appears on Yahoo Finance"),