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• How do I combine PyTube audio and video streams in a Flask app and let the user download as one file without storing on the web server ?

  10 avril 2022, par AJB9384

  I'm building a YouTube downloader as a side project in Flask. It allows users to input a url and download the video without storing anything on the server I'm hosting on

  


  Lower quality videos can be sent to the user easily as they from PyTube as one file. I use the code below :

  


  import os
import flask
from flask import redirect, url_for, session, send_file
import requests

import pytube
from pytube import YouTube
from io import BytesIO

@app.route('/pull_videos', methods = ['GET', 'POST'])
def pull_videos(): 
  buffer=BytesIO()
  yt_test=YouTube('https://www.youtube.com/watch?v=NNNPgIfK2YE')
  video = yt_test.streams.get_by_itag(251)

  video.stream_to_buffer(buffer)
  buffer.seek(0)

  return send_file(buffer, as_attachment=True, download_name="Test video")


  


  However, I struggle when trying to pull in higher quality videos as they come in as separate audio and videos streams (see documentation here : https://pytube.io/en/latest/user/streams.html#)

  


  I am trying to use ffmpeg to combine the two and then send to the user, but the code below isn't working as expected and throws an error :

  


  Code :

  


  import os
import flask
from flask import redirect, url_for, session, send_file
import requests
import ffmpeg

import pytube
from pytube import YouTube
from io import BytesIO

@app.route('/pull_videos', methods = ['GET', 'POST'])
def pull_videos(): 
  buffer=BytesIO()
  
  video = yt_test.streams.get_by_itag(137)
  input_video = ffmpeg.input(video)
  
  audio = yt_test.streams.get_by_itag(137)
  input_audio = ffmpeg.input(audio)
  
  combined = ffmpeg.concat(input_video, input_audio, v=1, a=1)
  combined.stream_to_buffer(buffer)
  buffer.seek(0)

  return send_file(buffer, as_attachment=True, download_name="Test video")


  


  Error : AttributeError : 'FilterableStream' object has no attribute 'stream_to_buffer'

  


  How could I combine these audio and video streams from PyTube into one file for the user to download without storing on the server ?

  


• Shazamio throws an error when running the code

  26 août 2023, par steilzz.

  I tried this code :

  


  import asyncio
from shazamio import Shazam
import ffprobe

async def main():
  shazam = Shazam()
  out = await shazam.recognize_song('Fluxxwave.m4a')
  print(out)

loop = asyncio.get_event_loop()
loop.run_until_complete(main())


  


  but I got an error :

  


    File "/Users/nikitamakarov/PycharmProjects/shazamMy/venv/lib/python3.10/site-packages/ffprobe/ffprobe.py", line 12, in <module>&#xA;    from ffprobe.exceptions import FFProbeError&#xA;  File "/Users/nikitamakarov/PycharmProjects/shazamMy/venv/lib/python3.10/site-packages/ffprobe/ffprobe.py", line 12, in <module>&#xA;    from ffprobe.exceptions import FFProbeError&#xA;ModuleNotFoundError: No module named &#x27;ffprobe.exceptions&#x27;; &#x27;ffprobe&#x27; is not a package&#xA;</module></module>

  


  The package is definitely installed, so why does this happen ?

  


• create a movie in python [on hold]

  22 mai 2017, par masoud

  I have some files with names (’Den_car_resample’ +’sdf’+ str(n)+’.dat’) where n changes from 0 to 25. I wrote a code to read these files and plots the results.
  now I want to create a movie from these plots. at the end of the program, I used the avconv command to do that.
  but, unfortunately my code creates a movie but it is empty.
  I don’t know the reason exactly but I think, first, I have to define a frame to each plot and then create a movie.
  can anyone please tell me how can I define a frame and also the add bit_rate of the movie.

  import sys
  
  import subprocess   
  
  import sdf
  
  import numpy as np
  
  import matplotlib.pyplot as plt  
  
  import time
  
  import matplotlib.animation as Animation
  
  from matplotlib.font_manager import FontProperties
  
  fp = FontProperties('Symbola')
  
  
  
  ##################### information from EPOCH input.deck
  
  nx,ny= 1200, 1600
  
  xmin=-100e-6
  
  xmax = 110e-6
  
  ymin = -200e-6
  
  ymax = 200e-6
  
  X =np.linspace(xmin,xmax,nx)   
  
  Y =np.linspace(ymin,ymax,ny)
  
  
  
  #################
  
  for n in range(0,25):
  
    nstr = str(n)
  
  
  
  ######################..... reading Density of carbon
  
    filename ="Den_car_resample" +'_sdf_'+ str(n)+'.dat'
  
  
  
    with open(filename, 'rb') as f:                        
  
      data = np.fromfile(f, dtype='float64', count=nx*ny)  
  
  
  
    Den_car  = np.reshape(data, [ny, nx], order='F')
  
    Den_car= np.log10(Den_car)
  
  
  
    ######################  Display Carbon density
  
  
  
    fig = plt.imshow(Den_car,  extent=[X.min()*1e6, X.max()*1e6, Y.min()*1e6,Y.max()*1e6], vmin=24, vmax=29, cmap='brg', aspect='auto') 
  
    plt.suptitle('Den_car')
  
    plt.title('sdf '+ str(n)+'; Time= '+str(n*50)+'ps',color='green', fontsize=15)
  
    plt.xlabel('x($\mu$m)')
  
    plt.ylabel('y($\mu$m)')
  
    plt.text(-80,-40,'Den_Carbon',color='red', fontsize=15)
  
    plt.colorbar()
  
    plt.savefig( 'fig%06d.png' % n, bbox_inches='tight')          
  
  
  
    plt.pause(.1)
  
    plt.clf()  
  
    plt.close()
  
  
  
    ######################  Create movie
  
  
  
    subprocess.call("avconv -framerate 1 -i fig%06d.png -c:v libx264 -profile:v high -crf 20".split())
  
  
  
  sys.exit()