
Research
PyPI Package Disguised as Instagram Growth Tool Harvests User Credentials
A deceptive PyPI package posing as an Instagram growth tool collects user credentials and sends them to third-party bot services.
The Speechifyinc Python library provides convenient access to the Speechifyinc API from Python.
API reference documentation is available here.
pip install speechify-api
A full reference for this library is available here.
Instantiate and use the client with the following:
from speechify import Speechify
client = Speechify(
token="YOUR_TOKEN",
)
client.tts.audio.speech(
input="input",
voice_id="voice_id",
)
The SDK also exports an async
client so that you can make non-blocking calls to our API.
import asyncio
from speechify import AsyncSpeechify
client = AsyncSpeechify(
token="YOUR_TOKEN",
)
async def main() -> None:
await client.tts.audio.speech(
input="input",
voice_id="voice_id",
)
asyncio.run(main())
When the API returns a non-success status code (4xx or 5xx response), a subclass of the following error will be thrown.
from speechify.core.api_error import ApiError
try:
client.tts.audio.speech(...)
except ApiError as e:
print(e.status_code)
print(e.body)
The SDK is instrumented with automatic retries with exponential backoff. A request will be retried as long as the request is deemed retryable and the number of retry attempts has not grown larger than the configured retry limit (default: 2).
A request is deemed retryable when any of the following HTTP status codes is returned:
Use the max_retries
request option to configure this behavior.
client.tts.audio.speech(..., request_options={
"max_retries": 1
})
The SDK defaults to a 60 second timeout. You can configure this with a timeout option at the client or request level.
from speechify import Speechify
client = Speechify(
...,
timeout=20.0,
)
# Override timeout for a specific method
client.tts.audio.speech(..., request_options={
"timeout_in_seconds": 1
})
You can override the httpx
client to customize it for your use-case. Some common use-cases include support for proxies
and transports.
import httpx
from speechify import Speechify
client = Speechify(
...,
httpx_client=httpx.Client(
proxies="http://my.test.proxy.example.com",
transport=httpx.HTTPTransport(local_address="0.0.0.0"),
),
)
While we value open-source contributions to this SDK, this library is generated programmatically. Additions made directly to this library would have to be moved over to our generation code, otherwise they would be overwritten upon the next generated release. Feel free to open a PR as a proof of concept, but know that we will not be able to merge it as-is. We suggest opening an issue first to discuss with us!
On the other hand, contributions to the README are always very welcome!
FAQs
Official Speechify API SDK
We found that speechify-api demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
A deceptive PyPI package posing as an Instagram growth tool collects user credentials and sends them to third-party bot services.
Product
Socket now supports pylock.toml, enabling secure, reproducible Python builds with advanced scanning and full alignment with PEP 751's new standard.
Security News
Research
Socket uncovered two npm packages that register hidden HTTP endpoints to delete all files on command.