MathBoard/Config.py at main · Tesla2000/MathBoard · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
import os
import re
import shutil
from pathlib import Path
from turtle import width, speed, hideturtle


class _VideoElements:
    lesson_names = (
        "Znajdowanie_liczby_niewymiernej",
        # "Mnożenie_ułamków",
        # "Dzielenie_ułamków",
        # "Dodawanie_ułamków",
        # "Odejmowanie_ułamków",
        # "Skracanie_ułamków",
        # "Ułamki",
    )
    final_video_name = "{}_{}.mp4".format


class _AudioElements:
    similarity_boost = 1
    stability = 1
    style = 0
    model_id = "eleven_multilingual_v1"
    voice_id = "2EiwWnXFnvU5JabPnv8n"

    model = "tts-1"
    voice = "alloy"


class Config(_VideoElements, _AudioElements):
    default_english = "en-gb"
    base_language = "pl"
    languages = (
        "en",
        "pl",
        "uk",
    )
    font_size = 12
    font_path = "DejaVuSans"
    color = "black"
    default_height = 100
    default_width = 50
    symbol_write_speed = 10
    minimal_border_width = 7
    line_width = 3
    width(line_width)
    speed(0)
    hideturtle()
    start_x = -640
    # start_x = -300
    start_y = 280
    # debug = True
    debug = False
    api_forbidden = True
    # api_forbidden = False
    # publish = True
    publish = False

    root = Path(__file__).parent
    image_format = ".jpg"
    images = root / "images"
    output_videos = root / "output_videos"
    output_audios = root / "output_audios"
    last_frames = root / "last_frames"
    final_videos = root / "final_videos"
    scripts_package = root / "scripts"
    translations = root / "translations"
    audio_paths = root / "audio_paths.json"

    temporary_files = root / "temporary_files"
    temporary_picture = temporary_files / ".ps"
    temp_translations = temporary_files / "translations.json"
    first_frames = temporary_files / "first_frames"
    temp_filename = str(temporary_files / ".mp4")
    temp_audio_paths = temporary_files / "audio_paths.json"

    tokens = root / "api_keys"
    deepL_token = tokens.joinpath("deepL_token").read_text()
    open_ai_token = tokens.joinpath("open_ai_token").read_text()
    elevenlabs_api_key = tokens.joinpath("elevenlabs").read_text()
    youtube_api_file = tokens.joinpath("google_client.json")
    youtube_auth = tokens.joinpath("upload_video.py-oauth2.json")
    os.environ.setdefault("OPENAI_API_KEY", open_ai_token)

    temporary_files.mkdir(exist_ok=True)
    tokens.mkdir(exist_ok=True)
    output_videos.mkdir(exist_ok=True)
    images.mkdir(exist_ok=True)
    last_frames.mkdir(exist_ok=True)
    first_frames.mkdir(exist_ok=True)
    shutil.rmtree(output_videos)
    shutil.rmtree(images)
    shutil.rmtree(last_frames)
    shutil.rmtree(first_frames)
    final_videos.mkdir(exist_ok=True)
    output_videos.mkdir(exist_ok=True)
    output_audios.mkdir(exist_ok=True)
    last_frames.mkdir(exist_ok=True)
    first_frames.mkdir(exist_ok=True)
    images.mkdir(exist_ok=True)
    translations.mkdir(exist_ok=True)

    @staticmethod
    def audio_name_normalization(text: str) -> str:
        polish_to_english = {
            "ą": "a",
            "ć": "c",
            "ę": "e",
            "ł": "l",
            "ń": "n",
            "ó": "o",
            "ś": "s",
            "ż": "z",
            "ź": "z",
            " ": "_",
        }
        return (
            "".join(
                polish_to_english.get(letter, letter)
                for letter in re.sub(r"[,.?!]", "", text.strip()).lower()
            )
            + ".mp3"
        )