Chatterbox Turbo TTS Serverless API

 1# pip install "segmind>=1.1.0"
 2# export SEGMIND_API_KEY="YOUR_API_KEY"
 3import segmind
 4
 5# Async (v2): submit to the queue and block until COMPLETED.
 6# run() returns the final result dict (600s deadline, 1.0s poll by default).
 7result = segmind.run(
 8    "chatterbox-turbo-tts",
 9    text="Introducing the AI-enhanced Skyline T-800. [laugh] It's got integrated AI for superior performance. Want to explore pricing?",
10    reference_audio="https://segmind-resources.s3.amazonaws.com/output/70e9a9dd-e0f4-450f-a590-872996b44a01-chatterbox-turbo-input.mp3",
11    temperature=0.7,
12    seed=42,
13    min_p=0,
14    top_p=0.9,
15    top_k=500,
16    repetition_penalty=1.3,
17    norm_loudness=True,
18)
19print(result["status"])                      # COMPLETED
20print(result.get("output"))                  # model output (e.g. media URL)
21print(result["metrics"]["inference_time"])   # server compute seconds
22
23# --- Or submit + poll manually (track request_id, control the cadence) ---
24from segmind import SegmindClient, InferenceFailed, InferenceTimeout
25
26client = SegmindClient()                      # reads SEGMIND_API_KEY
27payload = {
28    "text": "Introducing the AI-enhanced Skyline T-800. [laugh] It's got integrated AI for superior performance. Want to explore pricing?",
29    "reference_audio": "https://segmind-resources.s3.amazonaws.com/output/70e9a9dd-e0f4-450f-a590-872996b44a01-chatterbox-turbo-input.mp3",
30    "temperature": 0.7,
31    "seed": 42,
32    "min_p": 0,
33    "top_p": 0.9,
34    "top_k": 500,
35    "repetition_penalty": 1.3,
36    "norm_loudness": True,
37}
38job = client.submit_async("chatterbox-turbo-tts", **payload)
39print(job.request_id)                         # available immediately
40try:
41    result = job.wait(timeout=600, interval=1.0)
42except InferenceTimeout as e:
43    print("still running:", e.request_id)
44except InferenceFailed as e:
45    print("failed:", e.detail)