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rafaelgalle /whisper-test3:9193c0e1

Input schema

The fields you can use to run this model with an API. If you don’t give a value for a field its default value will be used.

Field Type Default value Description
file_path
string
Audio file path
file_url
string
Direct URL to audio
file_string
string
Base64 encoded audio
num_speakers
integer

Min: 1

Max: 50

Number of speakers (leave empty to auto-detect)
translate
boolean
False
Translate to English
language
string
Language code (e.g., 'en', 'pt')
prompt
string
Custom prompt with names/acronyms separated by punctuation
preprocess
integer
0

Max: 4

Preprocessing level: 0=None, 1=Sanitize, 2=+Filter, 3=+ReduceNoise, 4=+Normalize
highpass_freq
integer
45
Highpass filter frequency (Hz)
lowpass_freq
integer
8000
Lowpass filter frequency (Hz)
prop_decrease
number
0.3

Max: 1

Noise reduction proportion
stationary
boolean
True
Use stationary noise reduction
target_dBFS
number
-18
Target loudness in dBFS

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema
{'properties': {'language': {'title': 'Language', 'type': 'string'},
                'metrics': {'title': 'Metrics', 'type': 'object'},
                'num_speakers': {'title': 'Num Speakers', 'type': 'integer'},
                'segments': {'items': {'type': 'object'},
                             'title': 'Segments',
                             'type': 'array'}},
 'required': ['segments'],
 'title': 'Output',
 'type': 'object'}