indiejoseph

import re
import unicodedata

ONSETS_JYUTPING = {
    "b": "b",
    "d": "d",
    "g": "g",
    "gw": "gw",
    "j": "z",
    "p": "p",

indiejoseph

from glob import glob
import os
import argparse
from tqdm import tqdm
from pathlib import Path
from PolUVR.separator import Separator
import torch

separator1 = None
separator2 = None

indiejoseph

from dataclasses import dataclass
import yt_dlp
import librosa
import xml.etree.ElementTree as ET
import asyncio
from typing import List, Optional, Dict, Any
import httpx
import logging
import subprocess
import os

indiejoseph

分析以下幾篇文章內容，以分析員角度分析，歸納成一份學術性文章。

- 畀出主題、主體同概念
- 必須用廣東話書寫
- 為主體人物或概念提供簡介
- 為主題作總結

文章內容：

# 香港電影業新聞與動態

indiejoseph

import queue
import time
import threading
from transformers.generation.logits_process import (
    TopPLogitsWarper,
    RepetitionPenaltyLogitsProcessor,
)

@torch.inference_mode()
    def inference_v2(

indiejoseph

version: "3.9"
services:
  app:
    image: heartexlabs/label-studio:latest
    restart: unless-stopped
    depends_on:
      - db
    expose:
      - "8080"
    environment:

indiejoseph

$ conda activate ml
(ml) $ conda install ipykernel
(ml) $ ipython kernel install --user --name=<any_name_for_kernel>
(ml) $ conda deactivate

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import torchaudio

def eval(audio, text):
    # convert audio to 16000 sample rate
    audio = torchaudio.transforms.Resample(orig_freq=44100, new_freq=16000)(torch.tensor(audio).unsqueeze(0)).squeeze()
    # process text
    tokenized_seq = torch.tensor([processor.tokenizer(text, add_special_tokens=True).input_ids]).to(device)
    decoder_input_ids = tokenized_seq[:, 1:]
    decoder_input_ids_right_shifted = tokenized_seq[:, :-1]
    # process audio

indiejoseph

indiejoseph

const resampling = (audioBuffer: AudioBuffer, targetSampleRate: number): Promise<AudioBuffer> => {
  const offlineAudioContext = new OfflineAudioContext(1, audioBuffer.length, targetSampleRate);

  const source = offlineAudioContext.createBufferSource();
  source.buffer = audioBuffer;

  source.connect(offlineAudioContext.destination);
  source.start();

  return offlineAudioContext.startRendering();