app.py

import torch
import streamlit as st
from model import init_model, predict
from data import Tokenizer, load_config


MODEL_PATH = 'tj-fa.pt'

config = load_config(MODEL_PATH)
print('Config:', config)
tokenizer = Tokenizer(config)

# Load the model
model = init_model(MODEL_PATH)

# Create a text area box where the user can enter their text
user_input = st.text_area("Enter some text here", value="Он ҷо, ки висоли дӯстон аст,\nВ-оллоҳ, ки миёни хона саҳрост.")

device = "cuda" if torch.cuda.is_available() else "cpu"

# Run the model on the user's text and store the output
model_output = predict(model, tokenizer, user_input, device)

# Display the model's output in a text area box
st.text_area('Transliteration:', value=str(model_output), max_chars=None, key=None)