Minimax Music-01 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    "minimax-music-01",
 9    lyrics="[verse]  \n In the silence, I hear your name  \n Echoes of love that still remain  \n Fading lights and midnight rain  \n I’m lost in yesterday again  \n [chorus]  \n But I still dream, I still try  \n To hold your ghost beneath the sky ",
10    bitrate=256000,
11    song_file="https://replicate.delivery/pbxt/M9zum1Y6qujy02jeigHTJzn0lBTQOemB7OkH5XmmPSC5OUoO/MiniMax-Electronic.wav",
12    sample_rate=44100,
13)
14print(result["status"])                      # COMPLETED
15print(result.get("output"))                  # model output (e.g. media URL)
16print(result["metrics"]["inference_time"])   # server compute seconds
17
18# --- Or submit + poll manually (track request_id, control the cadence) ---
19from segmind import SegmindClient, InferenceFailed, InferenceTimeout
20
21client = SegmindClient()                      # reads SEGMIND_API_KEY
22payload = {
23    "lyrics": "[verse]  \n In the silence, I hear your name  \n Echoes of love that still remain  \n Fading lights and midnight rain  \n I’m lost in yesterday again  \n [chorus]  \n But I still dream, I still try  \n To hold your ghost beneath the sky ",
24    "bitrate": 256000,
25    "song_file": "https://replicate.delivery/pbxt/M9zum1Y6qujy02jeigHTJzn0lBTQOemB7OkH5XmmPSC5OUoO/MiniMax-Electronic.wav",
26    "sample_rate": 44100,
27}
28job = client.submit_async("minimax-music-01", **payload)
29print(job.request_id)                         # available immediately
30try:
31    result = job.wait(timeout=600, interval=1.0)
32except InferenceTimeout as e:
33    print("still running:", e.request_id)
34except InferenceFailed as e:
35    print("failed:", e.detail)