Precision 2

Higher accuracy, advanced controls, and enterprise-grade tooling for production teams.

Model details

Developed by
pyannoteAI
Use case
diarization
License
pyannoteAI Commercial License

Example usage

Precision-2 is a speaker diarization model built for production use, offering higher accuracy, advanced controls, and enterprise-grade tooling over to the community version. It's designed for teams that need reliable, production-ready performance rather than just research/experimentation. It's released under a commercial license.

Input

1import os
2
3import requests
4
5MODEL_ID = ""  # Add Model ID from Baseten Dashbaord
6
7endpoint_url = f"https://model-{MODEL_ID}.api.baseten.co/environments/production/predict"
8headers = {"Authorization": f"Api-Key {os.getenv('BASETEN_API_KEY')}"}
9payload = {
10    "audio": {
11        "url": "https://test-audios-public.s3.us-west-2.amazonaws.com/10-sec-01-podcast.m4a"
12    }
13}
14
15response = requests.post(
16    endpoint_url, headers=headers, json=payload, timeout=60
17)
18response.raise_for_status()
19print(response.json())

JSON output

1{
2    "diarization_result": [
3        [
4            {
5                "speaker": "SPEAKER_00",
6                "start": 0.004968750000000001,
7                "end": 10.244968750000002
8            }
9        ],
10        [
11            "SPEAKER_00"
12        ],
13        [
14            0.004968750000000001
15        ],
16        [
17            10.244968750000002
18        ]
19    ]
20}