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Parent(s):
ecde958
Fix: Download models from Harshil748/VoiceAPI-Models
Browse files- download_models.py +26 -86
download_models.py
CHANGED
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#!/usr/bin/env python3
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"""
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Download models from HuggingFace at build time.
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"""
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import os
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from pathlib import Path
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from huggingface_hub import snapshot_download
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MODELS_DIR = Path("models")
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# SYSPIN HuggingFace repos for each language
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SYSPIN_REPOS = {
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# Bengali
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"bn_female": ("SYSPIN/Bengali_Female_TTS", ["bn_female_vits_30hrs.pt", "chars.txt", "jit_infer.py"]),
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"bn_male": ("SYSPIN/Bengali_Male_TTS", ["bn_male_vits_30hrs.pt", "chars.txt", "jit_infer.py", "extra.py"]),
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# Hindi
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"hi_female": ("SYSPIN/Hindi_Female_TTS", ["hi_female_vits_30hrs.pt", "chars.txt", "jit_infer.py", "extra.py"]),
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"hi_male": ("SYSPIN/Hindi_Male_TTS", ["hi_male_vits_30hrs.pt", "chars.txt", "jit_infer.py", "extra.py"]),
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# Marathi
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"mr_female": ("SYSPIN/Marathi_Female_TTS", ["mr_female_vits_30hrs.pt", "chars.txt", "jit_infer.py", "extra.py"]),
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"mr_male": ("SYSPIN/Marathi_Male_TTS", ["mr_male_vits_30hrs.pt", "chars.txt", "jit_infer.py", "extra.py"]),
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# Telugu
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"te_female": ("SYSPIN/Telugu_Female_TTS", ["te_female_vits_30hrs.pt", "chars.txt", "jit_infer.py", "extra.py"]),
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"te_male": ("SYSPIN/Telugu_Male_TTS", ["te_male_vits_30hrs.pt", "chars.txt", "jit_infer.py", "extra.py"]),
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# Kannada
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"kn_female": ("SYSPIN/Kannada_Female_TTS", ["kn_female_vits_30hrs.pt", "chars.txt", "jit_infer.py", "extra.py"]),
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"kn_male": ("SYSPIN/Kannada_Male_TTS", ["kn_male_vits_30hrs.pt", "chars.txt", "jit_infer.py", "extra.py"]),
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# English
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"en_female": ("SYSPIN/English_Female_TTS", ["en_female_vits_30hrs.pt", "chars.txt", "jit_infer.py", "extra.py"]),
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"en_male": ("SYSPIN/English_Male_TTS", ["en_male_vits_30hrs.pt", "chars.txt", "jit_infer.py", "extra.py"]),
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# Chhattisgarhi
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"hne_female": ("SYSPIN/Chhattisgarhi_Female_TTS", ["ch_female_vits_30hrs.pt", "chars.txt", "jit_infer.py", "extra.py"]),
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"hne_male": ("SYSPIN/Chhattisgarhi_Male_TTS", ["ch_male_vits_30hrs.pt", "chars.txt", "jit_infer.py", "extra.py"]),
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# Maithili
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"mai_female": ("SYSPIN/Maithili_Female_TTS", ["mt_female_vits_30hrs.pt", "chars.txt", "jit_infer.py", "extra.py"]),
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"mai_male": ("SYSPIN/Maithili_Male_TTS", ["mt_male_vits_30hrs.pt", "chars.txt", "jit_infer.py", "extra.py"]),
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# Magahi
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"mag_female": ("SYSPIN/Magahi_Female_TTS", ["mg_female_vits_30hrs.pt", "chars.txt", "jit_infer.py", "extra.py"]),
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"mag_male": ("SYSPIN/Magahi_Male_TTS", ["mg_male_vits_30hrs.pt", "chars.txt", "jit_infer.py", "extra.py"]),
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# Bhojpuri (Coqui TTS format)
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"bho_female": ("SYSPIN/Bhojpuri_Female_TTS", ["checkpoint_340000.pth", "config.json"]),
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"bho_male": ("SYSPIN/Bhojpuri_Male_TTS", ["checkpoint_200000.pth", "config.json"]),
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}
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# Priority voices for demo (download first)
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PRIORITY_VOICES = ["hi_female", "bn_female", "en_female", "mr_female", "te_female", "kn_female"]
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def download_voice(voice_id: str) -> bool:
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"""Download a single voice model."""
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if voice_id not in SYSPIN_REPOS:
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print(f"β Unknown voice: {voice_id}")
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return False
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repo_id, files = SYSPIN_REPOS[voice_id]
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voice_dir = MODELS_DIR / voice_id
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voice_dir.mkdir(parents=True, exist_ok=True)
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print(f"π₯ Downloading {voice_id} from {repo_id}...")
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try:
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for filename in files:
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local_path = voice_dir / filename
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if local_path.exists():
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print(f" β {filename} already exists")
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continue
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print(f" β¬οΈ {filename}...")
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hf_hub_download(
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repo_id=repo_id,
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filename=filename,
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local_dir=voice_dir,
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local_dir_use_symlinks=False
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)
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print(f"β
{voice_id} downloaded successfully")
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return True
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except Exception as e:
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print(f"β Failed to download {voice_id}: {e}")
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return False
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def download_all_models():
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"""Download all models
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print("π Starting model downloads...")
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print(f"
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MODELS_DIR.mkdir(exist_ok=True)
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if __name__ == "__main__":
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#!/usr/bin/env python3
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"""
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Download models from HuggingFace at build time.
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Downloads from Harshil748/VoiceAPI-Models repo.
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"""
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import os
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from pathlib import Path
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from huggingface_hub import snapshot_download
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MODELS_DIR = Path("models")
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MODEL_REPO = "Harshil748/VoiceAPI-Models"
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def download_all_models():
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"""Download all models from HuggingFace."""
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print("π Starting model downloads...")
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print(f" Source: {MODEL_REPO}")
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print(f" Target: {MODELS_DIR.absolute()}")
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MODELS_DIR.mkdir(exist_ok=True)
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try:
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print("\nοΏ½οΏ½ Downloading all models...")
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snapshot_download(
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repo_id=MODEL_REPO,
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local_dir=MODELS_DIR,
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local_dir_use_symlinks=False,
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ignore_patterns=["*.md", ".gitattributes"],
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)
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print("β
All models downloaded successfully!")
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# List downloaded voices
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print("\nπ¦ Downloaded voices:")
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for voice in sorted(MODELS_DIR.iterdir()):
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if voice.is_dir():
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files = list(voice.glob("*"))
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print(f" β {voice.name}: {len(files)} files")
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except Exception as e:
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print(f"β Failed to download models: {e}")
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raise
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if __name__ == "__main__":
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