Skip to main content

A client library for LoLLMs generate endpoint

Project description

lollms_client

Python Version PyPI Downloads Apache License

Welcome to the lollms_client repository! This library is built by ParisNeo and provides a convenient way to interact with the lollms (Lord Of Large Language Models) API. It is available on PyPI and distributed under the Apache 2.0 License.

Installation

To install the library from PyPI using pip, run:

pip install lollms-client

Usage

To use the lollms_client, first import the necessary classes:

from lollms_client import LollmsClient

# Initialize the LollmsClient instance
lc = LollmsClient("http://localhost:9600")

Text Generation

Use generate_text() for generating text from the lollms API.

response = lc.generate_text(prompt="Once upon a time", stream=False, temperature=0.5)
print(response)

Completion

Use generate_completion() for getting a completion of the prompt from the lollms API.

response = lc.generate_completion(prompt="What is the capital of France", stream=False, temperature=0.5)
print(response)

List Mounted Personalities

List mounted personalities of the lollms API with the listMountedPersonalities() method.

response = lc.listMountedPersonalities()
print(response)

List Models

List available models of the lollms API with the listModels() method.

response = lc.listModels()
print(response)

Complete Example

from lollms_client import LollmsClient

# Initialize the LollmsClient instance
lc = LollmsClient("http://localhost:9600")

# Generate Text
response = lc.generate_text(prompt="Once upon a time", stream=False, temperature=0.5)
print(response)

# Generate Completion
response = lc.generate_completion(prompt="What is the capital of France", stream=False, temperature=0.5)
print(response)

# List Mounted Personalities
response = lc.listMountedPersonalities()
print(response)

# List Models
response = lc.listModels()
print(response)

Feel free to contribute to the project by submitting issues or pull requests. Follow ParisNeo on GitHub, Twitter, Discord, Sub-Reddit, and Instagram for updates and news.

Happy coding!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lollms_client-0.6.3.tar.gz (47.3 kB view details)

Uploaded Source

Built Distribution

lollms_client-0.6.3-py3-none-any.whl (52.1 kB view details)

Uploaded Python 3

File details

Details for the file lollms_client-0.6.3.tar.gz.

File metadata

  • Download URL: lollms_client-0.6.3.tar.gz
  • Upload date:
  • Size: 47.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.8

File hashes

Hashes for lollms_client-0.6.3.tar.gz
Algorithm Hash digest
SHA256 e26c39068bd1df6679ac5217cde60c146225ccb9ff84fd87a052e640e3ae45f6
MD5 c53c63037be65b37a94ea8513d322c34
BLAKE2b-256 7448cdfc4fa653ed7a641b6956a774c93dbc885605260d9a59bc3425f32e4956

See more details on using hashes here.

File details

Details for the file lollms_client-0.6.3-py3-none-any.whl.

File metadata

File hashes

Hashes for lollms_client-0.6.3-py3-none-any.whl
Algorithm Hash digest
SHA256 d351dc028b657badabe1ff5b8ee2ae863addfb1221b5e114f791f92d2da01126
MD5 991b109c1e9bbb473a740eaf489473ff
BLAKE2b-256 873122ada9592c086d670a2a6c740b2bede94d5bf9d702c1f59367403cb957c3

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page