Skip to main content

Toolkit for building conversational information access systems.

Project description

DialogueKit

Code style: black PyPi version Coverage Badge Tests docs Python version

DialogueKit is a library for conversational information access (CIA). It contains based classes for fundamental concepts, such as dialogue participants, dialogue management, natural language understanding, natural language generation, etc. In addition to the fundamental concepts DialogueKit contains an evaluation module, for evaluating the performance of and CIA systems. Consult the documentation for details.

Install as a package

DialogueKit is published to PyPI, install it by running:

pip install dialoguekit

Follow the commands below to install DialogueKit from a specific commit or straight from GitHub.

The command will install the latest version from the main branch.

  • On Windows you may need to run this command before pip installing
ssh -t git github.com
  • pip install
pip install git+ssh://git@github.com/iai-group/dialoguekit.git

If you want to specify a specific commit as the source of the package append the commit hash to the end of the command separated with a "@".

  • Specific commit as the source of the package.
pip install git+ssh://git@github.com/iai-group/dialoguekit.git@faa5c1fca37aaa275105cc1ca7698783719551c2

Usage example

  1. Create and connect a platform that manages dialogues. The platform requires information about the agent it serves.

    from dialoguekit.platforms.terminal_platform import TerminalPlatform
    from sample_agents.parrot_agent import ParrotAgent
    
    platform = TerminalPlatform(ParrotAgent)
    
  2. Start conversation

       platform.start()
    

Conventions

We follow the IAI Python Style Guide.
We use UTF-8 encodings that is widely used on Unix systems. Windows users need to use the Python UTF-8 Mode; see here for more details. In practice, we specify the encoding when opening files, as in this example:

with open("README.md", "r", encoding="utf-8") as fh:
    long_description = fh.read()

Contributors

(Alphabetically ordered by last name)

  • Jafar Afzali (2022)
  • Krisztian Balog (2021-present)
  • Nolwenn Bernard (2022-present)
  • Aleksander Drzewiecki (2022)
  • Ivica Kostric (2023)
  • Weronika Lajewska (2023)
  • Shuo Zhang (2021)

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

dialoguekit-0.1.1.tar.gz (1.4 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dialoguekit-0.1.1-py3-none-any.whl (1.4 MB view details)

Uploaded Python 3

File details

Details for the file dialoguekit-0.1.1.tar.gz.

File metadata

  • Download URL: dialoguekit-0.1.1.tar.gz
  • Upload date:
  • Size: 1.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.13

File hashes

Hashes for dialoguekit-0.1.1.tar.gz
Algorithm Hash digest
SHA256 83f429b5d2f27919840816c9d36d36cdda63915fb98693ab38ddca227ea2218a
MD5 b364137c21465c0207470d6ae4472778
BLAKE2b-256 4ca1efaf4bdf2770312f5cd261a6b71b363918bbc996fdbb7966c47de752e198

See more details on using hashes here.

File details

Details for the file dialoguekit-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: dialoguekit-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 1.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.13

File hashes

Hashes for dialoguekit-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 479ae87bacbeb045646f345297205c3856f6b9771c27bf09b4707c7dddffdb8a
MD5 7e6668e7714055772dadb95d9ae33038
BLAKE2b-256 dc24c81190ab87d2e0e8c20b80cb73eb544b094c4254723a5607b608d3ccbcbc

See more details on using hashes here.

Supported by

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