minor update on instruction

app.py

@@ -957,7 +957,7 @@ txt1 = """
 > This NLP (Natural Language Processing) AI demonstration aims to prevent profanity, vulgarity, hate speech, violence, sexism, and other offensive language.
 >It is **not an act of censorship**, as the final UI (User Interface) will give the reader, but not a young reader, the option to click on a label to read the toxic message.
 >The goal is to create a safer and more respectful environment for you, your colleages, and your family. 
-> This NLP app is 1 of 3 hands-on apps, ["AI Solution Architect," from ELVTR and Duc Haba](https://elvtr.com/course/ai-solution-architect?utm_source=instructor&utm_campaign=AISA&utm_content=linkedin).
+> This NLP app is 1 of 3 hands-on apps from the ["AI Solution Architect," from ELVTR and Duc Haba](https://elvtr.com/course/ai-solution-architect?utm_source=instructor&utm_campaign=AISA&utm_content=linkedin).
 ---
 ### 🌴 Helpful Instruction:
 
@@ -972,6 +972,8 @@ txt2 = """
 ## 🌻 Author and Developer Notes:
 ---
 - The demo uses the cutting-edge (2024) AI Natural Language Processing (NLP) model from OpenAI.
+- This NLP app is 1 of 3 hands-on apps from the ["AI Solution Architect," from ELVTR and Duc Haba](https://elvtr.com/course/ai-solution-architect?utm_source=instructor&utm_campaign=AISA&utm_content=linkedin).
+
 - It is not a Generative (GenAI) model, such as Google Gemini or GPT-4.
 - The NLP understands the message context, nuance, innuendo, and not just swear words.
 - We **challenge you** to trick it, i.e., write a toxic tweet or post, but our AI thinks it is safe. If you win, please send us your message.
@@ -999,6 +1001,8 @@ txt2 = """
   - Green is a "safe" message
   - Yellow is an "unsafe" message by your toxicity level
 
+- The **"confidence"** score refers to the confidence level in detecting a particular type of toxicity among the 14 tracked types. For instance, if the confidence score is 90%, it indicates a 90% chance that the toxicity detected is of that particular type. In comparison, the remaining 13 toxicities collectively have a 10% chance of being the detected toxicity. Conversely, if the confidence score is 3%, it could indicate any toxicity. It's worth noting that the Red, Green, or Yellow safety levels do not influence the confidence score.
+
 - The real-world dataset is from the Jigsaw Rate Severity of Toxic Comments on Kaggle. It has 30,108 records.
     - Citation:
     - Ian Kivlichan, Jeffrey Sorensen, Lucas Dixon, Lucy Vasserman, Meghan Graham, Tin Acosta, Walter Reade. (2021). Jigsaw Rate Severity of Toxic Comments . Kaggle. https://kaggle.com/competitions/jigsaw-toxic-severity-rating