Update app.py

app.py

@@ -57,8 +57,8 @@ segments = load_and_preprocess_text(filename)
 
 def find_relevant_segment(user_query, segments):
     """
-    Find the most relevant text segment for a user's query using cosine similarity among sentence embeddings.
-    This version finds the best match based on the content of the query.
+Find the most relevant text segment for a user's query using cosine similarity among sentence embeddings.
+This version finds the best match based on the content of the query.
     """
     try:
         # Lowercase the query for better matching
@@ -82,7 +82,7 @@ def find_relevant_segment(user_query, segments):
 
 def generate_response(user_query, relevant_segment):
     """
-    Generate a response emphasizing the bot's capability in providing information about St. Louis events.
+Generate a response emphasizing the bot's capability in providing information about St. Louis events.
     """
     try:
         system_message = "You are a chatbot specialized in providing information on local events, pro-Palestine movements, and community outreach, pride movements/events and community resources."
@@ -107,7 +107,7 @@ def generate_response(user_query, relevant_segment):
 
 def query_model(question):
     """
-    Process a question, find relevant information, and generate a response.
+Process a question, find relevant information, and generate a response.
     """
     if question == "":
         return "Welcome to GloBot! Ask me anything about the St. Louis Community!"