Update app.py

app.py

@@ -72,20 +72,20 @@ def app_fn(
 
     return fig, df_coverage
 
-title = "🤗 Prediction Intervals w/ Gradient Boosting Regression 🤗"
+title = "Prediction Intervals with Gradient Boosting Regression"
 with gr.Blocks() as demo:
     gr.Markdown(f"# {title}")
     gr.Markdown(
         """
-        ## This app shows how to use Gradient Boosting Regression to predict intervals. \
+        This app shows how to use Gradient Boosting Regression to predict intervals. \
         The app uses the [Quantile Loss](https://en.wikipedia.org/wiki/Quantile_regression#Quantile_loss_function) \
         to predict the lower and upper quantiles with Gradient Boosting Regression. The data used in this example \
         is generated through the equation passed in the Formula textbox heteroscedasticity noise is introduced to \
         make the data more realistic. The app also shows the coverage of the intervals on the train and test data.
 
-        ## Write equations using x as the variable and Python notation. Other supported functions are sin, cos, tan, exp, log, sqrt, and abs.
+        Write equations using x as the variable and Python notation. Other supported functions are sin, cos, tan, exp, log, sqrt, and abs.
 
-        [Orignal Example](https://scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_quantile.html#sphx-glr-auto-examples-ensemble-plot-gradient-boosting-quantile-py)
+        See original sklearn example [here](https://scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_quantile.html#sphx-glr-auto-examples-ensemble-plot-gradient-boosting-quantile-py).
         """
     )
     with gr.Row():