app.py

import os
import gradio as gr
from openai import OpenAI

client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))

chat_history = []

def advisory_chatbot(user_input):
    try:
        chat_history.append({"role": "user", "content": user_input})

        messages = [
            {"role": "system", "content": 
             "You are an educational and life advisor. Help users with:\n"
             "- Study planning\n"
             "- Finding universities\n"
             "- Locating scholarships\n"
             "- Creating daily routines\n"
             "- Answering general educational questions.\n"
             "Be helpful, friendly, and proactive."}
        ] + chat_history

        response = client.chat.completions.create(
            model="gpt-4",
            messages=messages,
            max_tokens=500,
            temperature=0.7
        )

        reply = response.choices[0].message.content
        chat_history.append({"role": "assistant", "content": reply})
        return reply

    except Exception as e:
        return f"⚠️ Error: {str(e)}"

iface = gr.Interface(
    fn=advisory_chatbot,
    inputs=gr.Textbox(lines=3, placeholder="Ask about study tips, universities, scholarships...", label="Your Question"),
    outputs=gr.Textbox(label="Advisor's Response"),
    title="📚 Study & Scholarship Advisory Chatbot",
    description="Ask about study advice, finding universities, scholarship options, routine planning, and general education questions.",
    theme="compact"
)

iface.launch()