Video Audio Merge Serverless API

 1# pip install "segmind>=1.1.0"
 2# export SEGMIND_API_KEY="YOUR_API_KEY"
 3from segmind import SegmindClient, InferenceFailed, InferenceTimeout
 4
 5# Async (v2) — recommended for long-running / video models.
 6# run() blocks up to 600s; submit_async + job.wait(timeout=...) sets a longer
 7# deadline and keeps the request_id so you can re-poll later.
 8client = SegmindClient()                      # reads SEGMIND_API_KEY
 9payload = {
10    "input_video": "https://segmind-sd-models.s3.amazonaws.com/display_images/video-audio-merge-input.mp4",
11    "input_audio": "https://segmind-sd-models.s3.amazonaws.com/display_images/audio-merge-input-aud.mp3",
12    "video_start": 0,
13    "video_end": -1,
14    "audio_start": 0,
15    "audio_end": -1,
16    "audio_fade_in": 0,
17    "audio_fade_out": 0,
18    "override_audio": False,
19    "merge_intensity": 0.5,
20}
21job = client.submit_async("video-audio-merge", **payload)
22print(job.request_id)                         # available immediately
23try:
24    result = job.wait(timeout=900, interval=2.0)
25    print(result["status"])                  # COMPLETED
26    print(result.get("output"))              # model output (e.g. video URL)
27except InferenceTimeout as e:
28    print("still running:", e.request_id)    # re-poll later with this id
29except InferenceFailed as e:
30    print("failed:", e.detail)
31
32# Fast models (<=600s) can use the one-liner instead:
33# result = segmind.run("video-audio-merge", **payload)