app.py

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

config = load_config('tj-fa-3dmzfi52.pt')
print('Config:', config)
tokenizer = Tokenizer(config)

# Load the model
model = init_model('tj-fa-3dmzfi52.pt')

# Create a text area box where the user can enter their text
user_input = st.text_area("Enter some text here", value="Халқро тақлидашон барбод дод,\nЭй дусад лаънат бар он тақлид бод")

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('The sentiment of the text is:', value=str(model_output), max_chars=None, key=None)