app.py

import gradio as gr
from sentence_transformers import SentenceTransformer, util
import openai
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
retrieval_model_name = 'output/sentence-transformer-finetuned/'
openai.api_key = os.environ["OPENAI_API_KEY"]

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}]

    Generate a response emphasizing the bot's capability in providing exercise information.
    """
    try:
        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})
    Process a question, find relevant information, and generate a response.
    """
    if question == "":
        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."
welcome_message = """
#

## 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 = """
### 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
"""


# Setup the Gradio Blocks interface with custom layout components
theme = gr.themes.Monochrome(
    primary_hue="blue",
    secondary_hue="gray",
).set(
    background_fill_primary='*primary_200',
    background_fill_primary_dark='*primary_200',
# 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.Markdown(welcome_message)  # Display the formatted welcome message
    with gr.Row():
        with gr.Column():
            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="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)
    with gr.Row():
        with gr.Column():
            question = gr.Textbox(label="Your question", placeholder="What do you want to ask about?")
            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)
    

# Launch the Gradio app to allow user interaction
demo.launch(share=True)