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 fitness chatbot specialized in providing information on specific workouts routines that people can do without equipment based on the body part and time someone wants to train."
+system_message = "You are a chatbot specialized in providing information the Young Yale Global Scholars program. You will be giving information to be applicants and scholars."
 # 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 exercise information.
     """
     try:
-        user_message = f"Here's the information on your workout: {relevant_segment}"
+        user_message = f"Here's the information on YYGS: {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 Active Fitness! Choose a body part from the list below and select how much time you would like to exercise for."
+        return "Welcome to Ask YYGS! Ask any question related to the YYGS program and this chatbot should be able to help!"
     relevant_segment = find_relevant_segment(question, segments)
     if not relevant_segment:
         return "Could not find specific information. Please refine your question."
@@ -111,27 +111,20 @@ def query_model(question):
 welcome_message = """
 #
 
-## Active Intelligence is an AI-driven assistant for all exercise-related queries. Created by Maya, Florence, and Alexandra of the 2024 Kode With Klossy NYC Camp. 
+## AskYYGS is an AI-driven assistant for all Young Yale Global Scholar related queries. Created by Alexandra, Loli, Abigail, and Lisa at the 2025 YYGS Hack-A-Thon. 
 """
 
 topics = """
-### This is the list of body parts to pick from! Please pick one!
-- Full Body
-- Legs
-- Biceps
-- Chest
-- Abs
-- Shoulder
-- Triceps
-- Forearms
-- Back
-"""
-
-times = """
-### This is the list of times! Please pick the time that best fits your needs!
-- 15 minutes
-- 30 minutes
-- 1 hour
+### Here are some ideas of things you can ask about!
+- Class Locations
+- Where to get help
+- Laundry
+- Roomate Question Ideas
+- Things To Do
+- What the programs mean
+- Example Lectures
+- Dining Shifts and the Menu
+- How to Beat the Heat
 """
 
 
@@ -139,7 +132,7 @@ times = """
 # Setup the Gradio Blocks interface with custom layout components
 theme = gr.themes.Monochrome(
     primary_hue="blue",
-    secondary_hue="orange",
+    secondary_hue="gray",
 ).set(
     background_fill_primary='*primary_200',
     background_fill_primary_dark='*primary_200',
@@ -157,19 +150,17 @@ theme = gr.themes.Monochrome(
 # Setup the Gradio Blocks interface with custom layout components
 with gr.Blocks(theme=theme) as demo:
     theme='gstaff/xkcd' 
-    gr.Image("Screenshot 2024-08-01 at 11.03.58 AM.png", show_label = False, show_share_button = False, show_download_button = False, width = 1800, height = 470)
+    #gr.Image("Screenshot 2024-08-01 at 11.03.58 AM.png", show_label = False, show_share_button = False, show_download_button = False, width = 1800, height = 470)
     gr.Markdown(welcome_message)  # Display the formatted welcome message
     with gr.Row():
         with gr.Column():
-            gr.Markdown(topics)  # Show the topics on the left side
-        with gr.Column():
-            gr.Markdown(times)
+            gr.Markdown(topics)  
     
             
     with gr.Row():
         with gr.Column():
             question = gr.Textbox(label="Your question", placeholder="What do you want to ask about?")
-            answer = gr.Textbox(label="Active Intelligence's Response:", placeholder="Active Intelligence will respond here...", interactive=False, lines=10)
+            answer = gr.Textbox(label="Ask YYGS's Response:", placeholder="askYYGS will respond here...", interactive=False, lines=10)
             submit_button = gr.Button("Submit")
             submit_button.click(fn=query_model, inputs=question, outputs=answer)