Update app.py

app.py

@@ -6,12 +6,12 @@ import os
 os.environ["TOKENIZERS_PARALLELISM"] = "false"
 
 # Initialize paths and model identifiers for easy configuration and maintenance
-filename = "output_topic_details.txt"  # Path to the file storing chess-specific details
+filename = "output_topic_details.txt"  # Path to the file storing dog-specific details
 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 an AI driven assistant designed to answer new pet owner’s questions about how to train their dogs and interpret their behavior"
 # Initial system message to set the behavior of the assistant
 messages = [{"role": "system", "content": system_message}]
 
@@ -64,10 +64,10 @@ def find_relevant_segment(user_query, segments):
 
 def generate_response(user_query, relevant_segment):
     """
-    Generate a response emphasizing the bot's capability in providing chess information.
+    Generate a response emphasizing the bot's capability in providing dog care information.
     """
     try:
-        user_message = f"Here's the information on chess: {relevant_segment}"
+        user_message = f"Here's the information on dog care: {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 Happy Paw Bot! Ask me anything about dog training and behavior."
     relevant_segment = find_relevant_segment(question, segments)
     if not relevant_segment:
         return "Could not find specific information. Please refine your question."