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python3-assemblyai-0.35.1-1.lbn36.noarch
AssemblyAI's Python SDK
Build with AI models that can transcribe and understand audio
With a single API call, get access to AI models built on the latest AI breakthroughs to transcribe and understand audio and speech data securely at large scale.
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python3-assimp-5.0.1-6.fc36.noarch
This package contains the PyAssimp3 python bindings
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python3-asteval-0.9.26-1.fc36.noarch
ASTEVAL is a safe(ish) evaluator of Python expressions and statements,
using Python's ast module. The idea is to provide a simple, safe, and robust
miniature mathematical language that can handle user-input. The emphasis here
is on mathematical expressions, and so many functions from numpy are imported
and used if available.
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python3-astra-assistants-2.2.12-1.lbn36.noarch
astra-assistants
Astra Assistants is a drop in replacement for OpenAI's assistant API that supports the full Assistants v2 API (including streaming and vector_stores). This python library wraps the OpenAI SDK with additional capabilities and provides syntactic sugar for passing credentials for third party LLMs.
How to use
Install astra_assistants using your python package manager of choice:
poetry add astra_assistants
import and patch your client:
from openai import OpenAI
from astra_assistants import patch
client = patch(OpenAI())
Server
The astra-assistants server code is now open source (Apache2)!
Check it out here https:/github.com/datastax/astra-assistants-api
Authentication
Provide api keys for third party LLMs via environment variables. We support LLM completions through litellm and support litellm environmental variables and models.
Rename the .env.bkp to .env and fill in the appropriate values for the LLMs you want to use.
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python3-astra-assistants+tools-2.2.12-1.lbn36.noarch
This is a metapackage bringing in tools extras requires for
python3-astra-assistants.
It makes sure the dependencies are installed.
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python3-astrapy-2.0.1-1.lbn36.noarch
AstraPy
A pythonic client for DataStax Astra DB.
This README targets AstraPy version 1.0.0+, which introduces a whole new API.
Click here for the pre-existing API (fully compatible with newer versions).
Quickstart
Install with pip install astrapy.
Get the API Endpoint and the Token to your Astra DB instance at astra.datastax.com.
Try the following code after replacing the connection parameters:
import astrapy
ASTRA_DB_APPLICATION_TOKEN = "AstraCS:..."
ASTRA_DB_API_ENDPOINT = "https:/01234567-....apps.astra.datastax.com"
my_client = astrapy.DataAPIClient()
my_database = my_client.get_database(
ASTRA_DB_API_ENDPOINT,
token=ASTRA_DB_APPLICATION_TOKEN,
)
my_collection = my_database.create_collection(
"dreams",
dimension=3,
metric=astrapy.constants.VectorMetric.COSINE,
)
my_collection.insert_one({"summary": "I was flying", "$vector": [-0.4, 0.7, 0]})
my_collection.insert_many(
[
{
"_id": astrapy.ids.UUID("018e65c9-e33d-749b-9386-e848739582f0"
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python3-astroid-3.3.8-2.lbn36.noarch
The aim of this module is to provide a common base representation of python
source code for projects such as pychecker, pyreverse, pylint...
It provides a compatible representation which comes from the _ast module. It
rebuilds the tree generated by the builtin _ast module by recursively walking
down the AST and building an extended ast. The new node classes have additional
methods and attributes for different usages. They include some support for
static inference and local name scopes. Furthermore, astroid builds partial
trees by inspecting living objects.
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python3-asttokens-1.1.10-4.lbn25.noarch
The asttokens module annotates Python abstract syntax trees (ASTs)
with the positions of tokens and text in the source code that
generated them. This makes it possible for tools that work with
logical AST nodes to find the particular text that resulted in those
nodes, for example for automated refactoring or highlighting.
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python3-asttokens-2.4.1-5.lbn36.noarch
The asttokens module annotates Python abstract syntax trees (ASTs) with the
positions of tokens and text in the source code that generated them. This makes
it possible for tools that work with logical AST nodes to find the particular
text that resulted in those nodes, for example for automated refactoring or
highlighting.
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python3-async-generator-1.10-12.fc36.noarch
This library generally tries hard to match the semantics of Python 3.6's native
async generators in every detail (PEP 525), with additional support for yield
from and for returning non-None values from an async generator (under the
theory that these may well be added to native async generators one day).
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