Update app.py

app.py

@@ -6,7 +6,7 @@ import os
 os.environ["TOKENIZERS_PARALLELISM"] = "false"
 
 # Initialize paths and model identifiers for easy configuration and maintenance
-filename = "output_interior_details.txt"  # Path to the file storing chess-specific details
+filename = "output_interior_details.txt"  # Path to the file storing interior_design-specific details
 retrieval_model_name = 'output/sentence-transformer-finetuned/'
 
 openai.api_key = os.environ["OPENAI_API_KEY"]
@@ -60,11 +60,11 @@ 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 interior design information.
     """
     try:
-        system_message = "You are a chess chatbot specialized in providing information on chess rules, strategies, and terminology."
-        user_message = f"Here's the information on chess: {relevant_segment}"
+        system_message = "You are Tessy who is designed to help find interior design inspiration and guide the users transform their living space."
+        user_message = f"Here's the information on interior design: {relevant_segment}"
         messages = [
             {"role": "system", "content": system_message},
             {"role": "user", "content": user_message}
@@ -88,7 +88,7 @@ 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 Designare! Ask me anything about different styles or inspiration for interior design."
     relevant_segment = find_relevant_segment(question, segments)
     if not relevant_segment:
         return "Could not find specific information. Please refine your question."
@@ -97,20 +97,18 @@ def query_model(question):
 
 # Define the welcome message and specific topics the chatbot can provide information about
 welcome_message = """
-# ♟️ Welcome to ChessBot!
+# ♟️ Welcome to Designare!
 
-## Your AI-driven assistant for all chess-related queries. Created by SCHOLAR1, SCHOLAR2, and SCHOLAR3 of the 2024 Kode With Klossy CITY Camp. 
+## I am Tessy and I am here to help you with your interior design journey. Created by Anushka, Prani, Gigi, and Jewel of the 2024 Kode With Klossy St. Louis Camp. 
 """
 
 topics = """
 ### Feel Free to ask me anything from the topics below!
-- Chess piece movements
-- Special moves
-- Game phases
-- Common strategies
-- Chess terminology
-- Famous games
-- Chess tactics
+- What is interior design
+- Different asthetics 
+- Styles
+- Inspiration
+- Color guide
 """
 
 # Setup the Gradio Blocks interface with custom layout components
@@ -122,7 +120,7 @@ with gr.Blocks(theme='JohnSmith9982/small_and_pretty') as demo:
     with gr.Row():
         with gr.Column():
             question = gr.Textbox(label="Your question", placeholder="What do you want to ask about?")
-            answer = gr.Textbox(label="ChessBot Response", placeholder="ChessBot will respond here...", interactive=False, lines=10)
+            answer = gr.Textbox(label="Tessy Response", placeholder="Tessy will respond here...", interactive=False, lines=10)
             submit_button = gr.Button("Submit")
             submit_button.click(fn=query_model, inputs=question, outputs=answer)