update text

app.py

@@ -83,14 +83,13 @@ with gr.Blocks(css=css) as demo:
         </div>
 
         Welcome to this new segment of the Probability Basics series! 🎉
-        - first, we introduce the core principles, known as `axioms`, that shape the mathematical foundation for probability calculations;
-        - then, we will explore the concept of `probability distributions` and how they are used to describe the likelihood of random events.
-        """
+        <br>In this part we will discuss the core principles, also known as `axioms`, that shape the mathematical foundation for probability calculations,
+        eventually allowing us to tackle more complex problems and understand the behavior of random events."""
     )
     gr.Markdown(
         r"""
         ## Axioms of Probability
-        In order to start working with more complex probability problems, we need to establish a set of `axioms` that will guide our calculations.
+        In order to start working with more serious probabilistic systems, we need to establish a set of `axioms` that will guide our calculations.
         
         Just like in geometry, where we first accept general rules like `two parallel lines never meet` before starting to deal for larger problems; or in algebra, where we accept that `a number multiplied by zero is zero` before solving equations, we need to establish some general rules for probability theory as well.