py/example_pypi.py

from supertonic import TTS

# Note: First run downloads model automatically (~260MB)
tts = TTS(auto_download=True)

# Get a voice style
style = tts.get_voice_style(voice_name="M4")

# Generate speech
text = "This morning, I took a walk in the park, and the sound of the birds and the breeze was so pleasant that I stopped for a long time just to listen."
wav, duration = tts.synthesize(text, voice_style=style)
# wav: np.ndarray, shape = (1, num_samples)
# duration: np.ndarray, shape = (1,)

# Save to file
tts.save_audio(wav, "results/example_pypi.wav")
print(f"Generated {duration[0]:.2f}s of audio")
add new 6 voices and python package 2025-12-10 17:23:04 +09:00			`from supertonic import TTS`

			`# Note: First run downloads model automatically (~260MB)`
			`tts = TTS(auto_download=True)`

			`# Get a voice style`
			`style = tts.get_voice_style(voice_name="M4")`

			`# Generate speech`
			`text = "This morning, I took a walk in the park, and the sound of the birds and the breeze was so pleasant that I stopped for a long time just to listen."`
			`wav, duration = tts.synthesize(text, voice_style=style)`
			`# wav: np.ndarray, shape = (1, num_samples)`
			`# duration: np.ndarray, shape = (1,)`

			`# Save to file`
fix: Supertonic 3 compatibility across all language examples - README Quick Start: format `duration[0]` instead of the ndarray itself (numpy refuses `f"{ndarray:.2f}"`; matches official `dur[0]:.2f` pattern) - py/example_pypi.py: print synthesized duration to mirror the docstring example - Add `"na"` to AVAILABLE_LANGS / Languages.Available / availableLangs across all 11 runtimes (Python/Node/Web/Java/C++/C#/Go/Swift/Rust/Flutter/iOS) so the language-agnostic fallback advertised in the README actually passes per-runtime lang validation before being sent to the v3 ONNX duration predictor Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> 2026-05-15 23:22:42 +09:00			`tts.save_audio(wav, "results/example_pypi.wav")`
			`print(f"Generated {duration[0]:.2f}s of audio")`