Tinkoff Python VoiceKit API Library
Usage
Install from PyPi
pip install tinkoff-voicekit-ai
Common
Before using you must have API_KEY and SECRET_KEY. You can get the keys by leaving a request on our website.
Examples of using VoiceKit client:
Call documentation for public methods
from tinkoff_voicekit_ai import ClientSTT
API_KEY = "my_api_key"
SECRET_KEY = "my_secret_key"
client = ClientSTT(API_KEY, SECRET_KEY)
client.something_method.__doc__
Methods initialize using config (Python dict) which satisfies one of the next json schema.
Recogniton (STT)
Example of using STT
- recognize
from tinkoff_voicekit_ai import ClientSTT
API_KEY = "my_api_key"
SECRET_KEY = "my_secret_key"
client = ClientSTT(API_KEY, SECRET_KEY)
audio_config = {
"encoding": "LINEAR16",
"sample_rate_hertz": 8000,
"num_channels": 1
}
# recognise method call
response = client.recognize("path/to/audio/file", audio_config)
print(response)
- streaming recognize
from tinkoff_voicekit_ai import ClientSTT
API_KEY = "my_api_key"
SECRET_KEY = "my_secret_key"
client = ClientSTT(API_KEY, SECRET_KEY)
audio_config = {
"encoding": "LINEAR16",
"sample_rate_hertz": 8000,
"num_channels": 1
}
stream_config = {"config": audio_config}
# recognise stream method call
with open("path/to/audio/file", "rb") as source:
responses = client.streaming_recognize(source, stream_config)
for response in responses:
print(response)
- long running recognize with uploader
from tinkoff_voicekit_ai import ClientSTT
API_KEY = "my_api_key"
SECRET_KEY = "my_secret_key"
client = ClientSTT(API_KEY, SECRET_KEY)
audio_config = {
"encoding": "LINEAR16",
"sample_rate_hertz": 8000,
"num_channels": 1
}
request = {
"config": audio_config,
"group": "group_name"
}
file_path = "path/to/file"
audio_name_for_storage = "pretty name"
# this method automatically upload audio to long running storage and return uri
print(client.longrunning_recognize_with_uploader(file_path, request, audio_name_for_storage))
Example of Voice Activity Detection configuration
vad = {}
vad["min_speech_duration"] = min_speech_duration
vad["max_speech_duration"] = max_speech_duration
vad["silence_duration_threshold"] = silence_duration_threshold
vad["silence_prob_threshold"] = silence_prob_threshold
vad["aggressiveness"] = aggressiveness
my_config = {}
my_config["vad"] = vad
Synthesize (TTS)
Example of input file:
Я жду вашего ответа. Вы готовы сделать перевод?
# Давайте уточним получателя. Как его зовут?
commented lines # will not be synthesis
Example of using TTS
- default
from tinkoff_voicekit_ai import ClientTTS
API_KEY = "api_key"
SECRET_KEY = "secret_key"
client = ClientTTS(API_KEY, SECRET_KEY)
audio_config = {
"audio_encoding": "LINEAR16",
"sample_rate_hertz": 48000
}
# use it if you want work with proto results
# audio file
rows_responses = client.streaming_synthesize("path/to/file/with/text", audio_config)
# text
rows_responses = client.streaming_synthesize("Мой красивый текст", audio_config)
# use it if you want get audio file results
# audio file
client.synthesize_to_audio_wav("path/to/file/with/text", audio_config, "output/dir")
# text
client.synthesize_to_audio_wav("Мой красивый текст", audio_config, "output/dir")
# ssml. There are only tag <speak>
client.synthesize_to_audio_wav("<speak>Мой красивый текст</speak>", audio_config, "output/dir", ssml=True)
- change voice
from tinkoff_voicekit_ai import ClientTTS
API_KEY = "api_key"
SECRET_KEY = "secret_key"
client = ClientTTS(API_KEY, SECRET_KEY)
config = {
"audio_encoding": "RAW_OPUS",
"sample_rate_hertz": 48000,
"voice": {"name": "alyona"}
}
client.synthesize_to_audio_wav("Приве! Меня зовут Алена.", config)
Example of using Operations
- get operation by id
from tinkoff_voicekit_ai import ClientOperations
API_KEY = "my_api_key"
SECRET_KEY = "my_secret_key"
operations = ClientOperations(API_KEY, SECRET_KEY)
running_operation_id = "42"
print(operations.get_operation({"id": running_operation_id}))
- cancel operation by id
from tinkoff_voicekit_ai import ClientOperations
API_KEY = "my_api_key"
SECRET_KEY = "my_secret_key"
operations = ClientOperations(API_KEY, SECRET_KEY)
operation_filter = {"exact_id": "31"}
# return empty dict on success
print(operations.cancel_operation(operation_filter))
Example of using Uploader
from tinkoff_voicekit_ai import Uploader
API_KEY = "my_api_key"
SECRET_KEY = "my_secret_key"
uploader = Uploader(API_KEY, SECRET_KEY)
path = "path/to/file"
print(uploader.upload(path, "object_name"))
Metadata
Release files for tinkoff-voicekit-ai 0.3.3.post1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| tinkoff_voicekit_ai-0.3.3.post1.tar.gz | 1.2 MB | Without provenance | Details for tinkoff_voicekit_ai-0.3.3.post1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| tinkoff_voicekit_ai-0.3.3.post1-py3-none-any.whl | Python 3 | none | any | Details for tinkoff_voicekit_ai-0.3.3.post1-py3-none-any.whl |
Total release size: 2.4 MB
Release files / tinkoff_voicekit_ai-0.3.3.post1.tar.gz
| Download URL | tinkoff_voicekit_ai-0.3.3.post1.tar.gz |
|---|---|
| Size | 1.2 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
ce16e75cc7dfa217f0624cff303bb1486df1046b4bdbf06cfd7d3a7f2c483724
|
|
BLAKE2b-256 checksum How to use checksums |
b59b1c4ebd2f590264ff849b93ce12029c0fd0cd1d834ed5ac90191e191a4df9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.4
|
Release files / tinkoff_voicekit_ai-0.3.3.post1-py3-none-any.whl
| Download URL | tinkoff_voicekit_ai-0.3.3.post1-py3-none-any.whl |
|---|---|
| Size | 1.2 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
caab8947ee3de8f4f9da5a510834fedc2783e17b033bc0621404587434527162
|
|
BLAKE2b-256 checksum How to use checksums |
92336108d7e1bb3042b2c122989de99d132e97dfec5521bdd0d8eee1d6dc3e2f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.4
|
Security for tinkoff-voicekit-ai 0.3.3.post1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.