import streamlit as st
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
import os

st.title("AI Accountant - Prompt-Based ERP Entry")

# Fix: absolute path to model directory
model_path = os.path.abspath("finetuned-flan-t5")

tokenizer = AutoTokenizer.from_pretrained(model_path)
model = AutoModelForSeq2SeqLM.from_pretrained(model_path)

user_input = st.text_area("Enter accounting transaction:")

if st.button("Generate Entry"):
    inputs = tokenizer(user_input, return_tensors="pt")
    outputs = model.generate(**inputs, max_new_tokens=128)
    result = tokenizer.decode(outputs[0], skip_special_tokens=True)
    st.json(eval(result))  # Convert JSON string to dict