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add indexTTS2 snippet #1754

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add indexTTS2 snippet #1754

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53 changes: 36 additions & 17 deletions packages/tasks/src/model-libraries-snippets.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -664,23 +664,42 @@ export const gliner = (model: ModelData): string[] => [
model = GLiNER.from_pretrained("${model.id}")`,
];

export const indextts = (model: ModelData): string[] => [
`# Download model
from huggingface_hub import snapshot_download

snapshot_download(${model.id}, local_dir="checkpoints")

from indextts.infer import IndexTTS

# Ensure config.yaml is present in the checkpoints directory
tts = IndexTTS(model_dir="checkpoints", cfg_path="checkpoints/config.yaml")

voice = "path/to/your/reference_voice.wav" # Path to the voice reference audio file
text = "Hello, how are you?"
output_path = "output_index.wav"

tts.infer(voice, text, output_path)`,
];
export const indextts = (model: ModelData): string[] => {
if (model.id === "IndexTeam/IndexTTS-2") {
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ideally better if it could be done based on a tag (so for instance having

library_name: index-tts
tags:
  - ...
  - index-tts2

so that it's robust to repo renaming and forks

return [
`from huggingface_hub import snapshot_download
snapshot_download("${model.id}", local_dir="checkpoints")

from indextts.infer_v2 import IndexTTS2
tts = IndexTTS2(cfg_path="checkpoints/config.yaml", model_dir="checkpoints", use_fp16=False, use_cuda_kernel=False, use_deepspeed=False)

text = "Translate for me, what is a surprise!"
tts.infer(spk_audio_prompt="voice_sample.wav", text=text, output_path="gen.wav", verbose=True)`,
];
} else if (model.id === "IndexTeam/Index-TTS") {
return [
`from huggingface_hub import snapshot_download
snapshot_download("${model.id}", local_dir="checkpoints")

from indextts.infer import IndexTTS
tts = IndexTTS(model_dir="checkpoints", cfg_path="checkpoints/config.yaml")

voice = "voice_sample.wav"
text = "Translate for me, what is a surprise!"
tts.infer(voice, text, "gen.wav")`,
];
}

return [
`from huggingface_hub import snapshot_download
snapshot_download("${model.id}", local_dir="checkpoints")

from indextts.infer import IndexTTS
tts = IndexTTS(model_dir="checkpoints", cfg_path="checkpoints/config.yaml")
tts.infer("path/to/voice.wav", "Hello!", "gen.wav")`,
];
};


export const htrflow = (model: ModelData): string[] => [
`# CLI usage
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