update example

README.md

@@ -45,10 +45,10 @@ question = tg.Variable(question_string,
 answer = model(question)
 ```
 
-> :warning: answer: To determine how long it will take to dry 30 shirts under the sun, 
-> we can use a proportional relationship based on the given information. 
-> Here’s the step-by-step reasoning: [.....]
-> So, it will take 1.2 hours (or 1 hour and 12 minutes) to dry 30 shirts under the sun.
+> :warning: answer: To determine how long it will take to dry 30 shirts under the sun,** 
+> **we can use a proportional relationship based on the given information.**
+> **Here’s the step-by-step reasoning: [.....]**
+> **So, it will take 1.2 hours (or 1 hour and 12 minutes) to dry 30 shirts under the sun.**
 
 
 As you can see, **the model's answer is incorrect.** We can optimize the answer using TextGrad to get the correct answer.
@@ -71,9 +71,9 @@ evaluation_instruction = (f"Here's a question: {question_string}. "
 # how we want to evaluate the reasoning.
 loss_fn = tg.TextLoss(evaluation_instruction)
 ```
-> :brain: loss: [...] Your step-by-step reasoning is clear and logical, 
-> but it contains a critical flaw in the assumption that drying time is 
-> directly proportional to the number of shirts. [...]
+> :brain: **loss: [...] Your step-by-step reasoning is clear and logical,** 
+> **but it contains a critical flaw in the assumption that drying time is**
+> **directly proportional to the number of shirts. [...]**
 
 ```python
 # Step 3: Do the loss computation, backward pass, and update the punchline. 
@@ -84,8 +84,8 @@ optimizer.step()
 answer
 ```
 
-> :white_check_mark: answer: It will still take 1 hour to dry 30 shirts under the sun, 
-> assuming they are all laid out properly to receive equal sunlight.
+> :white_check_mark: **answer: It will still take 1 hour to dry 30 shirts under the sun,** 
+> **assuming they are all laid out properly to receive equal sunlight.**