app.py

import gradio as gr
import random
import markovify

with open(file_name, encoding="utf-8") as f:
    db = f.read()

def gen(text):
  text = text.lower()
  size = random.randint(1, 650)
  file_name = "./dataset.txt"
  with open(file_name, "a", encoding="utf-8") as f:
    v = f"{text}\n"
    f.write(v)
    db += v
  db = db.strip().lower()
  text_model = markovify.NewlineText(input_text=db, state_size=1, well_formed=False)
  symbolsplus = [".","~~","!","?"]
  sentence: str = text_model.make_short_sentence(size) or random.choice(
      db.splitlines())[:size] + random.choice(symbolsplus)

  return sentence

iface = gr.Interface(
    fn=gen,
    inputs="text",
    outputs="text",
    examples=[["Привет!"], ["Как дела?"], ["Как"]])
iface.launch()