app.py

import gradio as gr
from huggingface_hub import InferenceClient
#from sentence_transformers import SentenceTransformer
#import torch
#import numpy as np # import libraries 

client = InferenceClient("microsoft/phi-4")

def respond(message, history):
    #context = get_relevent_context(message, top_k=3)
    
    messages = [{"role": "system", "content": "You are a friendly kpop expert chatbot."}]
    
    if history:
        messages.extend(history)
        
    messages.append({"role": "user", "content": message})
    
    response = client.chat_completion(
        messages,
        max_tokens=10000
    )
    
    return response['choices'][0]['message']['content'].strip()

chatbot = gr.ChatInterface(respond, type="messages")

title = "Kpop chatbot"

topics = """
<div class='big-paragraph'>
👋 Hey Kpop fan! <br>
Whether you’re new to the fandom or a longtime stan, I’m your ultimate Kpop buddy here to spill all the tea ☕️, trivia 🧠, and facts 📚 about your favorite groups and idols! 🌟<br><br> 
Want to find your perfect group or bias? Just ask me! 💜🎤 <br><br>
Not only that, if you love an artist outside of Kpop, I can help you discover similar vibes and styles from the amazing world of Kpop too! 🎧✨<br><br>
So whether you’re looking for your first bias or your next obsession, I’ve got you covered. <br>
Let’s dive into the colorful, energetic, and ever-growing universe of Kpop together! 🚀💫
</div>
"""
disclaimer = ""

css = """
.big-text {
    font-size: 100px;
    font-weight: bold;
}
.big-paragraph {
    font-size: 100px;
    line-height: 3;
}
"""


with gr.Blocks() as chatbot:
    with gr.Row():
        with gr.Column(scale=1):   # ← LEFT COLUMN (sidebar)
            gr.Markdown(title)     # Shows your "# :rocket: Lift Off :rocket: "heading
            gr.Markdown(topics)    # Shows your welcome text & bullet list
        with gr.Column(scale=2):   # ← RIGHT COLUMN (main chat area)
           gr.ChatInterface(
                fn=respond,
                type="messages"
            )
    with gr.Row():
        gr.Markdown(disclaimer)    # Footer disclaimer text

chatbot.launch()