Voice2Doc.py

import docx

import speech_recognition as sr
import logging
import threading
import time
from tqdm import tqdm

from system import v2d_S as s

   
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#                                  DESIGN                                     #
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#lastUpdate : 10/03/2022 18:00 | @version : v1.0.0
version = "0.0.0"

import base64
import sys

from tkinter import Tk, Canvas, Entry, Text, Button, PhotoImage
from tkinter import BOTH, END, LEFT
from tkinter import ttk
from tkinter import filedialog as fd
from tkinter.messagebox import showinfo
from pathlib import Path
from time import sleep



# IMG BASE64

b64_logo_png = 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'

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'

b64_button_1 = b'iVBORw0KGgoAAAANSUhEUgAAALQAAAA3CAIAAAAqi/cTAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsIAAA7CARUoSoAAAA0kSURBVHhe7Z0JVFT1HseZubODDDBAIjCyqOyKBiaIImhmZqXv+Iqjtr7eq5emHZeyrLDFU1qaS8vr9U69bHlWnrJ69trcMJdcIAlFEQUREWRYBma7c5d53//8JyQk87R6mfs9I975///33rnz/dzf//f/35m5Co/HE3DJEkWPQhGgwD+vTp5uqzhuOVHXVnnS0mJ1YYGWy/oDlWgONRl1KQnhWEgfHJ4QG0rLYTSsVip93l2KLhUOLxY+Kmrq23eW1m/dW1tZ3WJ3uJ1uXs0oGUapViu9bWX9keI4URBEThD1GlWgQZMyyFQ4Km7MiJj4mBDUwm04fomI/DQc3Te3q7T+/c+Ofl16uqXdqVYpdVoVo1QoFQpsgjwujTNZv6noKYyH6PEIosfF8hwvmkL0eSNi/zwpefSIGLTpfqpfRD8BB7ZCsfj26LkX3z6wu+wMywmBepWKYbAiEW0n67IUocQrXhDsTl6rZnKHR8+emZWZHInaLnN/TBeDA9EJnYXN7n7h7YNvf3LY5eaDAjXYGjYqMyEtAQFwIHoC4KZOo5p5fdqcmVfCTWqxr9EF+lE4BI+HUSiOVFuWvrhzf/lZY7AWPQjClK9aljRFTbR2sNlDo5bOHpM6KJwa7av+oXqHA+tjK1/trnl0XYml1Wnsp+UF0VcnS/pCqmjtZMPD9E/eN3ZCbjy121fXTb3AQZt++NWxB57bhoxTp2F4uRvpc1IpFC63wPLCioUF0yYk9cpHTzhoJwQyFq/crtepMBKRE4y+Kmqu08U/s2Ac4eOC/OMHT2j1lj21iBkyGX1eMBcWw2jYDdNhPQDw1Xl1Hg6MQVBdVdu6ZPUO7/yFTEbfF+UDdsN0WA8AgIGvrgsOdC4o63S4H1mzo9Xq1GoYmQw/EYyG3TAd1gMAuN6VaXTBQQY5r2wo2//d2eAgLYY3tFyWPwh2w3RYDwCAQZf5BA46U1ZR1fzvD8pD5FGrXwqmw3oAAAzIdJm3cyFw0CmQtW/tZzkBPRB5Isv/BOsBADDAMqVAiQEulvceOrOr7EyQXi13KH4rWA8AgAFgABIAg1x5ASbvflrJsvzFL8PI6vMCAMAAMAAJsIBYoqg5Y9158HSgQQ4b/i4AAAwAA5AAGErwsPNAXUu7U8Uwviay/FjAADAACYBBEtBte0+pVaBEDhuyyCQHYAASpGc5ebr9yAmLTquS6KwX6FYxSjzInK6M9y8WMAAMQAJgKCuON9scXI8rLpKQ9yNOCoeTs7Q5m1sd1k6W40USCX9fESb7VtAFDEACYDAjx9+yu6xer1FJ6/iABecWeF4cntb/xsIhhVcNvMIUaLWzrVaXRn0+eboIKRdWoaTX9t0Le7QRRY/DxRl06u589LoRCYlRKGxObnBcGGNOn1rfZCM5h69KAgIZPCcGBmqWLyh48K6c3OEx2RlRE/MSrslLKD927nRTpwaB0BtXMFjH3+5TwhCeiiKJn+iMaDnaIADQKR8VoyCflv5eKPd2uGjgXaYTyt72aM6olAtuGzmlYNBXe04BClre604lJLx4vD+BWpWyxeryHoaUjgOnptPNz52VBRo+//rkX5ZsxuMf75ZFRQStX359iPfaEMcLTieHKMJxYofdTbz1+opHm9UliiKq0BPhKd4LBKFOhxusoA0p9HjQGlWCIKLbYpRkAogXRLQBN1jRzYlut+BycZlDIu+cPiwi1MCyPE44bMfmcJOdugWy09+9j/tVBBiABAFDM2Aig3NFOsJrZd1CcoJp2f35dQ0ddyzZXFXbVtdgLdlfZ2l3oqesqmmFwYPMYU/NG7t0zthxI81uTjhSbcEBz7995Izr0ozB2tWLJxRNSQ0O0lQct3CcYAo1LL4r56n786dfk2QM1n1X1dze4Sq6LvW+WVlhIfpnFxVq1KrKEy3Fc/KW3D16zqys7PSomvr2Niu7+qEJaBASrOsfHrh1b60pVF88e8wz8wvG58S53EJFdXP3Pk5CAhJtHS5J5qGICvEDjFj4przBxfImoy481BAV2W/Tl1X/ev+Q1cZGmAJfeuyanOExr278FkEe7o7NjrXZ3cOSIvNHmmden/7x9mrEg7mzskdmRFlt7hULC266NmXTlqrK6pb7ZmbdMW1oe6drYJRxzJWx99w8vMliP93YcdPklOkTk3fsq3vpnYOZKVesWFho0Kt470lGuhjBo9EwLxdPmjp+yPqPK861OrDTyWMSEEjQwPfSpSYpwoF0IcBgQA4Y0GixI7wj4K99+Oo9G24t/+SvpR/emTE4AhDERgW/89/Dj6/b+ciaHWhZdG0q+gani0dnUbyuZM6Tn2/49AiWE2JDE6KNVw0d8L+SE8Xrdi5ete34qVaAYgzS2VxuNHj+jX1TZ29E57V5+4lbF3+y7JVdW/bU1Dd2mAcEs25+5Wvf4CWVHz33yNoSpD7pgyM2bD5SvLbk0bUl6KdvnJBE+m9pZh6Q9OCA0yqlorHZDkpSB4UjJcSJ+8XumrVvHjj4XYNWzWAIg0wbvhZNTm3aNW/j6mloqdep1SpGRT76qDhVb000hx6racGaeMREBaPx2Gxz1ef37N1wOwJGqFFn0KrQErWnGzrIJJDgCQ3W3jwp5eDGO19bNqV/RBAiFkxH+MFLojlsxpBIRKkbCgef2jZ76+szPKInIkQfpFcjv6GvXHKSIhwerZaprLG0d7L52bGjR8Q0ttjXrN//8PPbD1U1w2a06bS74esHXxwtWrBp/vIti57d+s/3ymA26kiqGRAAgHh0Cd5zGjaj8cHDZ2994OO/P/HZkjU7Hly5DQkvOEIDdBbIT/F3+aLCSWMS7n3is9wZ6yuqmgkxoketJjPLyIHsLg5ZCHqQLXtri+Zvmvf0l0tf2ImdYstkH9KUMjE2FPm8hI4AhqoYpq3dtfL1bxAMXn1y8opFhY/PHVvy1qy7pg+DGVqtquRAHVpmpw8ABEkDw4rvzRuR1p+OI7rOBriGiGLQq0sPNzY225BGGIO0Oo3qsXvzxmWZbS4Ow3s62kA8wIpkHqWTRUKD2JCZHIkBEfbeaLGBuYHRxltuSPv2aJPdyQ1LuqJfoCY6st9Df8tNNIe1SvCiFQ4aSAAMJm/ibbUNHTh471kkDeGlwrmyyqaaemtyfFh+tjk7Iwrm7T3UsOr1ffvKGyxtToxcrs6Nu23a0FGZ0WVHm176TylGnhPzEkxhhjc/qnC4OPMA44ScuNIjjVv21B6vaxuVMeCWqRmT8xOr69peebestt6amxmdNjhi8/bqM02dGNEge786Jx5DGBh/rLY1MtSwq7S+/Ni5nMzolMRwJBxYq6qmBducMSUNnVRpxdmX3ytjWUEpqcEghHMCY/WU+DDFqjf2vfDWATo34KuUiHAMnQ53oF4dEWowRwUfrW21Wl1Olu8XpIEbyD37GTTJiSaAcqrBisboArQa8rF6kIHOB3EBXYObFzH2QVaLdCQp3oRQcfi4RRBEvQ4FSvQmLjfPCx6UY4MJMSERJgOAEHgPhsFYFzkpwyiT401nGjs6HG6HkwsO0qYkdNuphnzj3PeKJSJGoWi3sRixKz7aUvXQqu14FyR3DBCchnM8J3CCCN9VanL5zTvRSdDBKAbZAEq0GhLYUYosAaIXknC4SBVp1onGWItleZTrvv/CDm1MJsC8Zz7+YzkyYQ+kUAKA6IrYG1YkF//UpOmFO5Wc8J7gbHl6/jglRl9BBnWPb7NIRXAUPmm0qiCDhv50DCUDgrNwCHEFKQiKaClK6DQohBWxDD+xjMZ4ivwDD/oUf1FF4sz3fQIK0flig7TEW0UyXLoi3XuvO5WcAAOQABjKhNiQ1MRwkrF3vQ1SE85vuHKhEygh5d1qehjWYxU0xsP3xKseDeiOfMv0P6+67x0LPXYqLQEDwAAkAAa58lQwaiDHkwDrq5flxwIGgAFIAAwSL8ZkmU0hel4QfPWy/FjAADAACYBB5nDio8lFBLuD+7Ef8ZDlJwIAwAAwAAmAoUQChwBy8+QU5FB0elGW3woAAAPAACTAAhn7IYsaNSx69PBom1MOHv4rWA8AgAFgABIAwzfih+bOytaq5S/X+69gPQAABlimFBA4MKBHPEkfEnH7n4a2d7JdMwGy/EcwHdYDAGAAGOj0z/kZIUH03F00PDsjqsPGyp2LXwl2w3RYDwDovCJVFxykpJ9B89S8/DCjnnXLX7f3F8Fo2A3TYT0AgOtdM17nexBEEkEQh8SFLbs/n+UBEPmMta9OVh8VLIbRsBumw3p6wchX1x0OiPH+ZNj4nLgVCwvIJ+pkPvq0KBkwGnbDdFjf47ttvXwpAUEDwxj5d0j7tn7O75BS0abyLxj3VWFsYv15v2BMJXjk3z7vg6Im/qLfPqeinZB814Q+IJhPZrM8v9JdE6i65kPk+61IUXCOTFL8FvdboUI92tCtyHdquvxFWPBigfiOHsT1292pqUvdNyff4+1y1u96j7fu8iJyfgZNvjvkZahf7e6QAQH/B0NCnRepohA/AAAAAElFTkSuQmCC'

b64_button_2 = b'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'

b64_button_3 = b'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'

b64_entry_2 = b'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'

# b64_entry_2 = b'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'

sys.path.insert(1, '../')


from PIL import Image, ImageTk


window = Tk()

def dialog():
    var = showinfo("Success !" , "Success report ! Go to the output repertory")
    window.destroy()

def start_program():

    # show_pb(window)
    window.title(f'V2D Executable | Still running, please wait...')

    s.run( format(entry_2.get()) )


    dialog()

def set_text(e,text):
    e.delete(0,END)
    e.insert(0,text)
    return
def select_file(e):
    filetypes = (
        ('All files', '*.*'),
        ('text files', '*.txt')
    )

    filename = fd.askopenfilename(
        title='Open a file',
        initialdir='/',
        filetypes=filetypes)

    set_text(e, filename)

###############################################################################
#                                 TKINTER                                     #
###############################################################################
# This part of this file was generated by the Tkinter Designer by Parth Jadhav
# https://github.com/ParthJadhav/Tkinter-Designer



OUTPUT_PATH = Path(__file__).parent
ASSETS_PATH = OUTPUT_PATH / Path("./executable/assets")


def relative_to_assets(path: str) -> Path:
    return ASSETS_PATH / Path(path)



#window.iconbitmap(data=b64_logo_ico)
win_logo = PhotoImage(data=b64_logo_png)
window.wm_iconphoto(True, win_logo)
window.title(f'V2D Executable | Extract the text of audio from a video')
window.geometry("862x519")
window.configure(bg = "#FFFFFF")

bg = PhotoImage(data=b64_bkg_img)
canvas = Canvas(
    window,
    height = 519,
    width = 862,
    bd = 0,
    highlightthickness = 0,
    relief = "ridge"
)
canvas.create_image( 0, 0, image = bg,
                     anchor = "nw")


canvas.place(x = 0, y = 0)
canvas.create_rectangle(
    430.9999999999999,
    0.0,
    861.9999999999999,
    519.0,
    fill="#FCFCFC",
    outline="")

button_image_1 = PhotoImage(
    data=b64_button_1)
button_1 = Button(
    image=button_image_1,
    borderwidth=0,
    highlightthickness=0,
    command=lambda:start_program(),
    relief="flat"
)
button_1.place(
    x=556.9999999999999,
    y=401.0,
    width=180.0,
    height=55.0
)

canvas.create_text(
    39.999999999999886,
    127.0,
    anchor="nw",
    text="Welcome to Voice2Doc",
    fill="#FCFCFC",
    font=("Montserrat Bold", 24 * -1)
)

canvas.create_text(
    477.9999999999999,
    128.0,
    anchor="nw",
    text="Select video/audio :",
    fill="#3133A0",
    font=("Montserrat Bold", 24 * -1)
)

canvas.create_rectangle(
    39.999999999999886,
    160.0,
    99.99999999999989,
    165.0,
    fill="#FCFCFC",
    outline="")

# entry_image_1 = PhotoImage(
#     data=b64_entry_1)
# entry_bg_1 = canvas.create_image(
#     650.4999999999999,
#     329.5,
#     image=entry_image_1
# )
# entry_1 = Entry(
#     bd=0,
#     bg="#ddf3e8",
#     highlightthickness=0
# )
# entry_1.place(
#     x=489.9999999999999,
#     y=299.0,
#     width=321.0,
#     height=59.0
# )

canvas.create_text(
    39.999999999999886,
    191.0,
    anchor="nw",
    text="Extract the text of audio from a audio & video",
    fill="#FCFCFC",
    font=("Varela Round", 16 * -1)
)

button_image_2 = PhotoImage(
    data=b64_button_2)
# button_2 = Button(
#     image=button_image_2,
#     borderwidth=0,
#     highlightthickness=0,
#     command=lambda:select_file(entry_1),
#     bg="#ddf3e8",
#     relief="flat"
# )
# button_2.place(
#     x=783.9999999999999,
#     y=319.0,
#     width=24.0,
#     height=22.0
# )

entry_image_2 = PhotoImage(
    data=b64_entry_2)
entry_bg_2 = canvas.create_image(
    650.4999999999999,
    229.5,
    image=entry_image_2
)
entry_2 = Entry(
    bd=0,
    bg="#DDEDF3",
    highlightthickness=0
)
entry_2.place(
    x=489.9999999999999,
    y=199.0,
    width=321.0,
    height=59.0
)

button_image_3 = PhotoImage(
    data=b64_button_3)
button_3 = Button(
    image=button_image_3,
    borderwidth=0,
    highlightthickness=0,
    command=lambda: select_file(entry_2),
    bg="#DDEDF3",
    relief="flat"
)
button_3.place(
    x=783.9999999999999,
    y=219.0,
    width=24.0,
    height=22.0
)

logo = PhotoImage(data=b64_logo_png)
canvas.create_image(
    80,
    415,
    image=logo
)

window.resizable(False, False)
window.mainloop()