Chatterbox 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-tts",
 9    text="Welcome to Chatterbox TTS, where your text turns into captivating audio effortlessly.",
10    reference_audio="https://segmind-resources.s3.amazonaws.com/input/ef2a2b5c-3e3a-4051-a437-20a72bf175de-sample_audio.mp3",
11    exaggeration=0.5,
12    temperature=0.8,
13    seed=42,
14    cfg_weight=0.5,
15    min_p=0.05,
16    top_p=1,
17    repetition_penalty=1.2,
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": "Welcome to Chatterbox TTS, where your text turns into captivating audio effortlessly.",
29    "reference_audio": "https://segmind-resources.s3.amazonaws.com/input/ef2a2b5c-3e3a-4051-a437-20a72bf175de-sample_audio.mp3",
30    "exaggeration": 0.5,
31    "temperature": 0.8,
32    "seed": 42,
33    "cfg_weight": 0.5,
34    "min_p": 0.05,
35    "top_p": 1,
36    "repetition_penalty": 1.2,
37}
38job = client.submit_async("chatterbox-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)