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• I need to modify this repository

  14 septembre 2021, par Jegadish Tamizh

  I got this telegram audio extracter bot repository from GitHub. This bot extract and convert the audio to MP3. but I want to extract the audio in native format without Re Encoding.. I can do it in ffmpeg.. but with python I can't understand.. what changes will make this work..?

  


  from helpers.tools import execute, clean_up
from helpers.upload import upload_audio, upload_subtitle

async def extract_audio(client, message, data):
    await message.edit_text("Extracting Stream from file...")

    dwld_loc = data['location']
    out_loc = data['location'] + ".mp3"

    if data['name'] == "mp3":
        out, err, rcode, pid = await execute(f"ffmpeg -i '{dwld_loc}' -map 0:{data['map']} -c copy '{out_loc}' -y")
        if rcode != 0:
            await message.edit_text("**Error Occured. See Logs for more info.**")
            print(err)
            await clean_up(dwld_loc, out_loc)
            return
    else:
        out, err, rcode, pid = await execute(f"ffmpeg -i '{dwld_loc}' -map 0:{data['map']} '{out_loc}' -y")
        if rcode != 0:
            await message.edit_text("**Error Occured. See Logs for more info.**")
            print(err)
            await clean_up(dwld_loc, out_loc)
            return

    await clean_up(dwld_loc)
    await upload_audio(client, message, out_loc)


  


• How to make a bot available to multiple users on blocking operations ? python, aiogram, pytube, ffmpeg

  27 février 2023, par Tony Reznik

  I'm trying to deal with multithreading and asynchrony, but I can't figure out how to deal with this situation.

  


  There is a telegram bot that downloads videos from YouTube and cuts only the first minute of the video into a separate file. Pytube and ffmpeg are used. The second bot user does not receive any response from the bot while the tasks of the first one are running. How to deal with such difficulties ?

  


  import subprocess

from aiogram import Bot, Dispatcher, types
from aiogram.utils import executor
from pytube import YouTube
import time

API_TOKEN = 'tkn'

bot = Bot(token=API_TOKEN)
dp = Dispatcher(bot)

video_folder = 'video/'


@dp.message_handler()
async def start_convert(message: types.Message):
    url = message.text
    yt = YouTube(url)

    await message.reply('accepted')

    video_name = time.strftime("%d-%m-%Y-%H-%M-%S") + '.mp4'

    video = yt.streams.get_highest_resolution()
    video.download(video_folder, filename=video_name)

    await message.reply('downloaded')

    subprocess.call(['ffmpeg', '-hide_banner', '-loglevel', 'error', '-i', f'{video_folder}{video_name}',
                     '-ss', '0', '-c:v', 'libx264', '-c:a', 'aac', '-b:v', '5M', '-to', '60',
                     f'{video_folder}1_min_{video_name}'])

    await message.reply('trimmed')

if __name__ == '__main__':
    executor.start_polling(dp, skip_updates=True)



  


  This is a code template.
In the current form, I want to understand how to implement the task correctly.

  


• Revision 7ab9a9587b : Remove Wextra warnings from vp9_sad.c As a side-effect, the max_sad check is re

  13 mai 2014, par Deb Mukherjee

  Changed Paths :
   Modify /test/sad_test.cc

  
   Modify /vp8/common/rtcd_defs.pl

  
   Modify /vp8/common/sad_c.c

  
   Modify /vp8/common/variance.h

  
   Modify /vp8/encoder/mcomp.c

  
   Modify /vp8/encoder/rdopt.c

  
   Modify /vp9/common/vp9_rtcd_defs.pl

  
   Modify /vp9/encoder/vp9_encodeframe.c

  
   Modify /vp9/encoder/vp9_mbgraph.c

  
   Modify /vp9/encoder/vp9_mcomp.c

  
   Modify /vp9/encoder/vp9_rdopt.c

  
   Modify /vp9/encoder/vp9_sad.c

  
   Modify /vp9/encoder/vp9_variance.h

  
  
  Remove Wextra warnings from vp9_sad.c

  As a side-effect, the max_sad check is removed from the
  C-implementation of VP8, for consistency with VP9, and to
  ensure that the SAD tests common to VP8/VP9 pass.
  That will make the VP8 C implementation of sad a little slower
  but given that is rarely used in practice, the impact will be
  minimal.

  Change-Id : I7f43089fdea047fbf1862e40c21e4715c30f07ca