app.py

# -*- coding: utf-8 -*-
"""FredAlpaca.ipynb

Automatically generated by Colaboratory.

Original file is located at
    https://colab.research.google.com/drive/1W6DsQPLinVnuJKqhVASYpuVwuHhhtGLc
"""

import streamlit as st

from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
from transformers import GenerationConfig

model_name = "IlyaGusev/fred_t5_ru_turbo_alpaca"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSeq2SeqLM.from_pretrained(model_name).to("cuda")
model.eval()

generation_config = GenerationConfig.from_pretrained(model_name)
st.title('Модель')
st.write('')
# Input text
text_in = st.text_input('Введите текст:')
# кнопка вывод результата
start = st.button('Start:')
if start:
    for sample in text_in:
         data = tokenizer(sample, return_tensors="pt")
         data = {k: v.to(model.device) for k, v in data.items()}
         output_ids = model.generate(
              **data,
              generation_config=generation_config
    )[0]
    print(tokenizer.decode(data["input_ids"][0].tolist()))
    print(tokenizer.decode(output_ids.tolist()))
    print("====================")
    st.write("Результат:", tokenizer.decode(data["input_ids"][0].tolist()),tokenizer.decode(output_ids.tolist()))