kxchat
kxchat is a conversational AI application that leverages state-of-the-art natural language processing models to facilitate interactive chat experiences. It allows users to load models from specified repositories and engage in dynamic conversations.
Table of Contents
Installation
kxchat requires Python 3.11 or higher.
Use pip/uv
pip install kxchat
uv add kxchat
Quick Start
To start a chat room using a model from a specific repository, run the following command:
kxchat room <repo> [--revision <revision>]
<repo>: The URL or path to the repository containing the model.--revision <revision>: The specific revision of the model to use (default is "main").
Example:
kxchat room meta-llama/Meta-Llama-3.1-8B-Instruct
Features
- Dynamic Model Loading: Load models from any specified repository and revision.
- Interactive Chat: Engage in real-time conversations with the AI.
- Command Line Interface: Simple and intuitive CLI for easy interaction.
Development
To set up a development environment, install the development dependencies:
uv sync --dev
Metadata
Release files for kxchat 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| kxchat-0.1.1.tar.gz | 4.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| kxchat-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.8 kB
Release files / kxchat-0.1.1.tar.gz
| Download URL | kxchat-0.1.1.tar.gz |
|---|---|
| Size | 4.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.9
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Release files / kxchat-0.1.1-py3-none-any.whl
| Download URL | kxchat-0.1.1-py3-none-any.whl |
|---|---|
| Size | 3.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.9
|