Update app.py

app.py

@@ -11,7 +11,7 @@ retrieval_model_name = 'output/sentence-transformer-finetuned/'
 
 openai.api_key = os.environ["OPENAI_API_KEY"]
 
-system_message = "You are a chess chatbot specialized in providing information on chess rules, strategies, and terminology."
+system_message = "You are a college chatbot specialized in providing information on undergraduate schools in the DMV."
 # Initial system message to set the behavior of the assistant
 messages = [{"role": "system", "content": system_message}]
 
@@ -67,7 +67,7 @@ def generate_response(user_query, relevant_segment):
     Generate a response emphasizing the bot's capability in providing chess information.
     """
     try:
-        user_message = f"Here's the information on chess: {relevant_segment}"
+        user_message = f"Here's the information on college: {relevant_segment}"
 
         # Append user's message to messages list
         messages.append({"role": "user", "content": user_message})
@@ -99,7 +99,7 @@ def query_model(question):
     Process a question, find relevant information, and generate a response.
     """
     if question == "":
-        return "Welcome to ChessBot! Ask me anything about chess rules, strategies, and terminology."
+        return "Welcome to Collete! What are you looking for in a college?"
     relevant_segment = find_relevant_segment(question, segments)
     if not relevant_segment:
         return "Could not find specific information. Please refine your question."
@@ -108,9 +108,9 @@ def query_model(question):
 
 # Define the welcome message and specific topics the chatbot can provide information about
 welcome_message = """
-# ♟️ Welcome to ChessBot!
+# ♟️ Welcome to Collete!
 
-## Your AI-driven assistant for all chess-related queries. Created by SCHOLAR1, SCHOLAR2, and SCHOLAR3 of the 2024 Kode With Klossy CITY Camp. 
+## Your AI-driven assistant for c. Created by SCHOLAR1, SCHOLAR2, and SCHOLAR3 of the 2024 Kode With Klossy CITY Camp. 
 """
 
 topics = """