app.py

import gradio as gr
from transformers import pipeline

# Load a small, free conversational model
chatbot = pipeline("text-generation", model="microsoft/DialoGPT-small")

def reply(message, history=[]):
    prompt = f"You are a helpful financial advisor.\nUser: {message}\nBot:"
    output = chatbot(prompt, max_new_tokens=60)[0]['generated_text']
    response = output.split("Bot:")[-1].strip()
    history.append((message, response))
    return history, history

with gr.Blocks() as demo:
    gr.Markdown("## 💸 Ask your Financial Advisor Bot")
    chatbot_ui = gr.Chatbot()
    msg = gr.Textbox(label="Type your question about money, investing, etc.")
    state = gr.State([])

    msg.submit(reply, [msg, state], [chatbot_ui, state])

demo.launch()