Video Captioner 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    "MaxChars": 10,
11    "bg_blur": False,
12    "bg_color": "null",
13    "color": "white",
14    "font": "Poppins/Poppins-ExtraBold.ttf",
15    "fontsize": 7,
16    "highlight_color": "yellow",
17    "input_video": "https://segmind-sd-models.s3.amazonaws.com/display_images/hallo_output.mp4",
18    "kerning": -2,
19    "opacity": 0,
20    "right_to_left": False,
21    "stroke_color": "black",
22    "stroke_width": 2,
23    "subs_position": "bottom75",
24}
25job = client.submit_async("video-captioner", **payload)
26print(job.request_id)                         # available immediately
27try:
28    result = job.wait(timeout=900, interval=2.0)
29    print(result["status"])                  # COMPLETED
30    print(result.get("output"))              # model output (e.g. video URL)
31except InferenceTimeout as e:
32    print("still running:", e.request_id)    # re-poll later with this id
33except InferenceFailed as e:
34    print("failed:", e.detail)
35
36# Fast models (<=600s) can use the one-liner instead:
37# result = segmind.run("video-captioner", **payload)