Update app.py

app.py

@@ -95,11 +95,9 @@ def render_mermaid(mermaid_code: str):
 
 def local_qa(text: str, query: str) -> str:
     # A simple, local Q&A function based on keyword matching.
-    # It won't understand context, but it will find relevant sentences.
     sentences = re.split(r'(?<=[.!?])\s+', text)
     query_words = set(re.findall(r'\w+', query.lower()))
     
-    # Rank sentences by the number of query words they contain
     ranked_sentences = []
     for s in sentences:
         s_words = set(re.findall(r'\w+', s.lower()))
@@ -109,7 +107,6 @@ def local_qa(text: str, query: str) -> str:
             
     ranked_sentences.sort(key=lambda x: x[0], reverse=True)
     
-    # Return the top 3 most relevant sentences
     if ranked_sentences:
         top_sentences = [s[1] for s in ranked_sentences[:3]]
         return " ".join(top_sentences)