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Update README.md

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@@ -10,9 +10,25 @@ library_name: transformers
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  # NeuTTS Express
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  - Compact model size (0.5B)
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  - Emotional and paralinguistic controls via \(tags\)
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  - Supports streaming for low latency usecases
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  - Instant voice cloning
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- Supported tags: `(neutral)`, `(happy)`, `(sad)`, `(angry)`, `(surprised)`, `(disgusted)`, `(fearful)`, `(giggle)`, `(gasp)`, `(exhale)`, `(laugh)`, `(chuckle)`, `(sign)`
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # NeuTTS Express
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+ <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/6599dc66eabe0f3e98de7cf6/EyqWd8BtQT-o5nyb6CavE.wav"></audio>
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+
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  - Compact model size (0.5B)
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  - Emotional and paralinguistic controls via \(tags\)
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  - Supports streaming for low latency usecases
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  - Instant voice cloning
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+ Supported tags: `(neutral)`, `(happy)`, `(sad)`, `(angry)`, `(surprised)`, `(disgusted)`, `(fearful)`, `(giggle)`, `(gasp)`, `(exhale)`, `(laugh)`, `(chuckle)`, `(sign)`
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+
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+ ```python
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+ from neuttsair.neutts_simple import NeuTTSAir
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+ import soundfile as sf
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+
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+ tts = NeuTTSAir(backbone_repo="BarryFutureman/NeuTTS-Express", backbone_device="cuda",
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+ codec_repo="neuphonic/distill-neucodec", codec_device="cuda")
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+ input_text = "I just got the best news ever (giggle), and I couldn't be happier!"
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+ start_time = time.time()
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+ wav = tts.infer(input_text)
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+ end_time = time.time()
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+
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+ sf.write("output.wav", wav, 24000)
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+ ```