API Reference

for chunk in session.tts(request, backend="speech-1.5"):
    f.write(chunk)

response = session.asr(request)

models = session.list_models(self_only=True, page_size=10)

model = session.get_model("model_id")

model = session.create_model(
    title="My Voice",
    voices=[audio_bytes],
    texts=["Sample text"]
)

session.update_model("model_id", title="New Title")

session.delete_model("model_id")

credit = session.get_api_credit()

package = session.get_package()

TTSRequest(
    text="Hello",
    reference_id="model_id",
    references=[ReferenceAudio(audio=bytes, text="sample")],
    format="mp3",
    prosody=Prosody(speed=1.0, volume=0)
)

ASRRequest(audio=audio_bytes, language="en")

ReferenceAudio(audio=audio_bytes, text="spoken text")

Prosody(speed=1.2, volume=5)

response.text  # Complete transcription
response.duration  # Duration in milliseconds
response.segments  # List of ASRSegment

ws = WebSocketSession("api_key")
with ws:
    for chunk in ws.tts(request, text_stream()):
        # Process chunk

ws = AsyncWebSocketSession("api_key")
async with ws:
    async for chunk in ws.tts(request, text_stream()):
        # Process chunk

except HttpCodeErr as e:
    print(f"Error {e.status}: {e.message}")

except WebSocketErr:
    print("Connection failed")