app.py

import streamlit as st
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load the fine-tuned model
model_name = "your_fine_tuned_model_directory"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

def generate_response(prompt):
    inputs = tokenizer.encode(prompt, return_tensors="pt")
    outputs = model.generate(inputs, max_length=150, num_return_sequences=1)
    response = tokenizer.decode(outputs[0])
    return response

st.title("Fine-Tuned Personal Finance Assistant")

prompt = st.text_input("Ask a question:")
response = ""

if st.button("Generate"):
    response = generate_response(prompt)

st.write(response)