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The pirate bay depuis la Belgique
1er avril 2013, par
Mis à jour : Avril 2013
Langue : français
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Sur d’autres sites (9009)
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Command raised an exception : NameError : name 'player' is not defined
20 mars 2023, par baartysI finally got myself a hosting for my project, but got into an error and I don't know how to resolve it.
I ran command !play to start streaming in vc, but I got this error :


2023-03-19 18:36:04 INFO discord.client logging in using static token
2023-03-19 18:36:04 INFO discord.gateway Shard ID None has connected to Gateway (Session ID: f983009c9f2881b87ee119278692efc9).
Eurobeat Radio is running!
2023-03-19 18:36:10 ERROR discord.ext.commands.bot Ignoring exception in command play
Traceback (most recent call last):
 File "/home/container/.local/lib/python3.10/site-packages/discord/ext/commands/core.py", line 229, in wrapped
 ret = await coro(*args, **kwargs)
 File "/home/container/radio.py", line 44, in play
 player.play(FFmpegPCMAudio('http://stream.eurobeat.xyz'))
NameError: name 'player' is not defined
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
 File "/home/container/.local/lib/python3.10/site-packages/discord/ext/commands/bot.py", line 1350, in invoke
 await ctx.command.invoke(ctx)
 File "/home/container/.local/lib/python3.10/site-packages/discord/ext/commands/core.py", line 1023, in invoke
 await injected(*ctx.args, **ctx.kwargs) # type: ignore
 File "/home/container/.local/lib/python3.10/site-packages/discord/ext/commands/core.py", line 238, in wrapped
 raise CommandInvokeError(exc) from exc
discord.ext.commands.errors.CommandInvokeError: Command raised an exception: NameError: name 'player' is not defined



I tried running it on my pc and that was without error, but once it was on the hosting it ran in to the error up the page.


Here is the code :


import discord
import urllib.request, json 
from discord import FFmpegPCMAudio
from discord.ext import commands
from discord.ext import tasks
client= commands.Bot(command_prefix="er!", intents=discord.Intents.all(), help_command=None)

@tasks.loop(seconds=10.0)
async def my_background_task():
 """Will loop every 60 seconds and change the bots presence"""
 with urllib.request.urlopen('https://api.laut.fm/station/eurobeat/current_song') as url:
 data = json.load(url)
 global namestatus
 global artiststatus
 namestatus = data['title']
 artiststatus = data['artist']['name']
 await client.change_presence(activity=discord.Activity(type=discord.ActivityType.listening, name="Eurobeat FM"))
 await client.change_presence(activity=discord.Game(name="Para para dancing ~"))
 await client.change_presence(activity=discord.Activity(type=discord.ActivityType.listening, name=f"{namestatus} by {artiststatus}"))


@client.event
async def on_ready():
 print('Eurobeat Radio is running!')
 await client.wait_until_ready()
 my_background_task.start()


@client.event
async def on_voice_state_update(member, prev, cur):
 if client.user in prev.channel.members and len([m for m in prev.channel.members if not m.bot]) == 0:
 channel = discord.utils.get(client.voice_clients, channel=prev.channel)
 await channel.disconnect()

@client.command(aliases=['p', 'pla', 'join', 'j'])
async def play(ctx, url: str = 'http://stream.eurobeat.xyz'): 
 channel = ctx.message.author.voice.channel
 global player
 try:
 player = await channel.connect()
 except:
 pass
 player.play(FFmpegPCMAudio('http://stream.eurobeat.xyz'))
 embedVar = discord.Embed(title="Started Playing!", color=discord.Color.random())
 await ctx.send(embed=embedVar)



Would be very grateful for your help !


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avcodec/sanm : SMUSH codec48 decoder
16 décembre 2024, par Manuel Lauss -
Batch splitting large audio files into small fixed-length audio files in moments of silence
26 juillet 2023, par Haldjärvito train the SO-VITS-SVC neural network, we need 10-14 second voice files. As a material, let's say I use phrases from some game. I have already made a batch script for decoding different files into one working format, another batch script for removing silence, as well as a batch script for combining small audio files into files of 13-14 seconds (I used Python, pydub and FFmpeg). To successfully automatically create a training dataset, it remains only to make one batch script - Cutting audio files lasting more than 14 seconds into separate files lasting 10-14 seconds, cutting in places of silence or close to silence is highly preferable.


So, it is necessary to batch cut large audio files (20 seconds, 70 seconds, possibly several hundred seconds) into segments of approximately 10-14 seconds, however, the main task is to look for the quietest place in the cut areas so as not to cut phrases in the middle of a word (this is not very good for model training). So, is it really possible to do this in a very optimal way, so that the processing of a 30-second file does not take 15 seconds, but is fast ? Quiet zone detection is required only in the area of cuts, that is, 10-14 seconds, if counted from the very beginning of the file.


I would be very grateful for any help.


I tried to write a script together with ChatGPT, but all options gave completely unpredictable results and were not even close to what I needed... I had to stop at the option with a sharp cut of files for exactly 14000 milliseconds. However, I hope there is a chance to make a variant with cutting exactly in quiet areas.


import os
from pydub import AudioSegment

input_directory = ".../RemSilence/"
output_directory = ".../Split/"
max_duration = 14000

def split_audio_by_duration(input_file, duration):
 audio = AudioSegment.from_file(input_file)
 segments = []
 for i in range(0, len(audio), duration):
 segment = audio[i:i + duration]
 segments.append(segment)
 return segments

if __name__ == "__main__":
 os.makedirs(output_directory, exist_ok=True)
 audio_files = [os.path.join(input_directory, file) for file in os.listdir(input_directory) if file.endswith(".wav")]
 audio_files.sort(key=lambda file: len(AudioSegment.from_file(file)))
 for file in audio_files:
 audio = AudioSegment.from_file(file)
 if len(audio) > max_duration:
 segments = split_audio_by_duration(file, max_duration)
 for i, segment in enumerate(segments):
 output_filename = f"output_{len(os.listdir(output_directory))+1}.wav"
 output_file_path = os.path.join(output_directory, output_filename)
 segment.export(output_file_path, format="wav")
 else:
 output_filename = f"output_{len(os.listdir(output_directory))+1}.wav"
 output_file_path = os.path.join(output_directory, output_filename)
 audio.export(output_file_path, format="wav")