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humair025/kikiri-tts-urdu-pipeline main

References multiple AI or ML asset extensionsLoads a PyTorch checkpoint

SHA-25693eab3751d410c3d824baac84e8530281123fb25849a2ee51a0a531e42fd88f1

URLhttps://huggingface.co/humair025/kikiri-tts-urdu-pipeline

Evidence

Checkpoint extension before model context lines 1–12

1#!/usr/bin/env python3
2"""
3Kokoro German: Extract Voicepack
4=================================
5Extracts a voicepack (.pt) from a fine-tuned StyleTTS2 checkpoint by running
6both style encoders (acoustic + prosodic) on representative utterances and
7averaging the resulting style vectors.
8
9Usage:
10    # Single checkpoint (Stage 1 only — uses style_encoder for both halves)
11    python scripts/extract_voicepack.py \
12        --model StyleTTS2/logs/kokoro_ge …

AI PyTorch or SafeTensors extension lines 13–17

6…    --audio-dir dataset/audio/dm_daniel \
      --output voices/dm_daniel.pt
15
  # Two checkpoints (recommended after Stage 2 training):
  #   style_encoder from Stage 1, predictor_encoder from Stage 2 …

Calls Python glob for file enumeration lines 205–212

165… �──
  audio_path = Path(audio_dir)
  wav_files = sorted(audio_path.glob("*.wav"))
  if not wav_files:
      print(f"ERROR: No WAV files found in {audio_dir}")
      sys.exit(1)
211
  print(f"Found {len(wav_files):,} WAV files in {audio_di …

Loads a PyTorch checkpoint lines 231–235

  print(f"Loading checkpoint: {model_path}")
  checkpoint = torch.load(model_path, map_location="cpu", weights_only=False)
  net = checkpoint["net"]
234
  # Kokoro-82M architecture: dim_in=64, styl …

Checkpoint extension after model context lines 416–420

3…       required=True,
      help="Path to fine-tuned StyleTTS2 checkpoint (.pth). Used for predictor_encoder "
      "(and style_encoder unless --style-encoder-model is specified).",
  )
  parser.add_a …