Project 15 — Markov Chain Chatbot · Project 16 — TUI App with curses / textual

from collections import defaultdict
import random

class MarkovChain:
    def __init__(self, n=2):
        self.n = n
        self.model = defaultdict(list)

    def train(self, text: str):
        words = text.split()
        for i in range(len(words) - self.n):
            key = tuple(words[i:i+self.n])
            self.model[key].append(words[i+self.n])

    def generate(self, length=50, seed=None):
        if seed is None:
            seed = random.choice(list(self.model.keys()))
        output = list(seed)
        for _ in range(length - self.n):
            key = tuple(output[-self.n:])
            nexts = self.model.get(key)
            if not nexts: break
            output.append(random.choice(nexts))
        return ' '.join(output)

import curses

def main(stdscr):
    curses.curs_set(0)
    stdscr.clear()
    h, w = stdscr.getmaxyx()
    stdscr.addstr(h//2, w//2-10, "Hello from curses!")
    stdscr.addstr(h-1, 0, "Press q to quit")
    stdscr.refresh()
    while True:
        key = stdscr.getch()
        if key == ord("q"):
            break

curses.wrapper(main)

from textual.app import App, ComposeResult
from textual.widgets import Header, Footer, Button, Label

class MyApp(App):
    def compose(self) -> ComposeResult:
        yield Header()
        yield Label("Hello, Textual!")
        yield Button("Click me", id="btn")
        yield Footer()

    def on_button_pressed(self, event: Button.Pressed) -> None:
        self.query_one(Label).update("Button was pressed!")

if __name__ == "__main__":
    MyApp().run()