app.py

import streamlit as st
import transformers
import tensorflow
import PIL
from PIL import Image
import time
from transformers import pipeline

model_checkpoint = "Modfiededition/t5-base-fine-tuned-on-jfleg"


@st.cache(allow_output_mutation=True, suppress_st_warning=True)
def load_model():
    return pipeline("text2text-generation", model=model_checkpoint)
model = load_model()

st.subheader("당신의 영어 일기장을 위해! 🤖")
st.markdown("최고의 성능으로 문법을 체크해 드립니다.!")
textbox = st.text_area('Write your text in this box:', '',height=10,  max_chars=300 )
button = st.button('Detect grammar mistakes:')

# output
st.subheader("Correct sentence: ")
if button:
    with st.spinner('In progress.......'):
        if textbox:
            output_text = model(textbox)[0]["generated_text"]
        else:
            output_text = " "
    st.markdown("## "+output_text)