Update app.py

app.py

@@ -1,10 +1,3 @@
-# #############################################################################################################################
-# # Filename   : app.py
-# # Description: A Streamlit application to showcase how RAG works.
-# # Author     : Georgios Ioannou
-# #
-# # Copyright © 2024 by Georgios Ioannou
-# #############################################################################################################################
 # app.py
 import os
 import re
@@ -244,10 +237,10 @@ def main():
             elif uploaded_file.name.endswith(".txt"):
                 uploaded_text = uploaded_file.read().decode("utf-8")
 
-        # 🧠 Extract prompts using LLM
+        # extract qs and headers using llms
         questions = extract_with_llm(uploaded_text)
 
-        # 🚫 Filter out irrelevant junk
+        # filter out irrelevant text
         def is_meaningful_prompt(text: str) -> bool:
             too_short = len(text.strip()) < 10
             banned_keywords = ["phone", "email", "fax", "address", "date", "contact", "website"]
@@ -257,7 +250,7 @@ def main():
 
         filtered_questions = [q for q in questions if is_meaningful_prompt(q)]
 
-        # 🎯 Prompt selection UI
+        #select prompts to answer
         selected_questions = st.multiselect("✅ Choose prompts to answer:", filtered_questions, default=filtered_questions)
 
         if selected_questions: