معرفی شرکت ها
cltl.combot-0.0.dev1
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشترتوضیحات
Communication Robot Framework
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | cltl.combot-0.0.dev1 |
| نام | cltl.combot |
| نسخه کتابخانه | 0.0.dev1 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | CLTL |
| ایمیل نویسنده | t.baier@vu.nl |
| آدرس صفحه اصلی | https://github.com/leolani/cltl-combot |
| آدرس اینترنتی | https://pypi.org/project/cltl.combot/ |
| مجوز | MIT License |
# CLTL Leolani Combot
CLTL Leolani Combot provides the framework for applications that implement human-robot interaction with conversation.
## About the Project
This is the successor of the [Leolani platform](https://github.com/leolani/pepper) with an improved modular architecture.
## Applications
Clone one of the application parents from this project space and follow the instructions there to run them:
* [Eliza app](https://github.com/leolani/eliza-parent)
* [Get to know you app](https://github.com/leolani/g2ky-parent)
* [Leolani-mmai](https://github.com/leolani/leolani-mmai-parent)
## Components
Currently, the following components are implemented for the framework:
* [Application Repository](https://github.com/leolani/cltl-requirements)
Repository to share artifacts and external dependencies between components.
* [EMISSOR](https://github.com/leolani/emissor)
Representation of interaction data.
* [Backend](https://github.com/leolani/cltl-backend)
Hardware integration and signal generation.
* [Automatic Speech Recognition (ASR)](https://github.com/leolani/cltl-asr)
Transcription of audio signals to text.
* [Voice Activity Detection (VAD)](https://github.com/leolani/cltl-vad)
Detection of speech in audio signals.
* [Face Recognition](https://github.com/leolani/cltl-face-recognition)
Currently includes face detection, age-gender detection, face recognition
* [Chat UI](https://github.com/leolani/cltl-chat-ui)
Simple Chat client to display and interact with the conversation
* [Eliza chat](https://github.com/leolani/cltl-eliza)
Eliza based chat.
* [Get To Know You (G2KY) chat](https://github.com/leolani/cltl-g2ky)
Establish name based on face recognition.
* [About-agent](https://github.com/leolani/cltl-about-agent)
Answer questions about the agent itself.
* [Knowledge extraction](https://github.com/leolani/cltl-knowledgeextraction)
Extracts factoid triples and perspectives from statements and gives back responses or it extracts SPARQL queries from questions and generates answers.
* [Knowledge linking](https://github.com/leolani/cltl-knowledgelinking)
Resolves IRIs for mentions and perceptions of things and people such that triples are augmented with IRIs.
* [Knowledge representation](https://github.com/leolani/cltl-knowledgerepresentation)
The models and functions to support the episodic Knowledge Graph.
* [Language generation](https://github.com/leolani/cltl-languagegeneration)
Generates texts from triples.
* [Mention detection](https://github.com/leolani/cltl-mention-detection)
Detects mentions of entities and visual objects in text.
* [Object recognition](https://github.com/leolani/cltl-object-recognition)
Detects people and objects in images.
* [Question processor](https://github.com/leolani/cltl-questionprocessor)
Answers questions about the world through the Internet.
* [Visual responder](https://github.com/leolani/cltl-visualresponder)
Answers questions to the visual context.
To create a new component follow the instructions in the [template component](https://github.com/leolani/cltl-template).
## Getting Started
### Running an application
Clone one of the above [applications](#Applications) and follow the instructions there to run them.
### Prerequisites
#### Python
Most of the repositories require at least Python 3.8.
One option to manage Python versions is to use
[pyenv](https://github.com/pyenv/pyenv). Note, however, that `pyenv` doesn't
work well together with anaconda. To detect if you are using anaconda, run
`which python`. If you use anaconda, you can use that to manage your Python
version.
#### make
To build the application, `make` is used.
On OS X it is recommeded to upgrade `make`. Since OS X doesn't use standard GNU
utils due their restrictive licence, default `make` on OS X is way outdated.
One option is to use homebrew:
brew install make
and add the installed `gmake` command by adding
PATH="$(brew --prefix)/opt/make/libexec/gnubin:$PATH"
to your `~/.zshrc`
#### Docker
To be added.
## Development
To work on the development of a specific [application](#applications), start from the parent repository
and follow the steps described below. The description uses the [Eliza app](https://github.com/leolani/eliza-parent)
as example.
### Check-out
To check out all code needed for the Eliza App, follow the instructions in the
[Eliza app](https://github.com/leolani/eliza-parent).
### Build and run the application
The application is structured into separate components which have their own *git* repositories
and can be run as separate Python applications. The parent repository of the application contains
all those component repositories as *git* submodules.
There is a central application ([cltl-eliza-app](https://github.com/leolani/cltl-eliza-app)) that configures and runs
all the necessary components it needs, either inside a Python application or as containerized services in a *Kubernetes*
cluster or using *docker compose*. To run the application, first all components need to be packaged and made available
to the application. For this purpose there are *makefiles* available in the components and the application parent that
automate this process. To build the application run
make build
from the **parent repository**. This command will download external dependencies to
[cltl-requirements](https://github.com/leolani/cltl-requirements), setup virtual environments for all components, package
them and publish the packages to [cltl-requirements](https://github.com/leolani/cltl-requirements) to make them available
to the application and other components.
To run the application follow the instructions in the [Eliza parent](https://github.com/leolani/eliza-parent).
### Make changes to the code
Individual components in the parent repository are edited and committed separately, and, after a stable version is
reached, the state of the components is commited in the parent repository, for the workflow see
[Working with git submodules](HOWTO/gitsubmodules.md).
Modularization allows developing components in isolation. The application and other components depend on a packaged
version of a component only, therefore changes will become available outside of the component only after rebuilding
the application, see above.
To use PyCharm for development see the instructions in [Workflow using PyCharm](HOWTO/pycharm.md).
To commit changes made to the application see the instructions in [Working with git submodules](HOWTO/gitsubmodules.md).
### Adding a new component
To add a new component to an application follow the instruction in the
[template component](https://github.com/leolani/cltl-template).
### Create a new application
### HOWTOs
* [Workflow using PyCharm](HOWTO/pycharm.md)
* [Working with git submodules](HOWTO/gitsubmodules.md)
* [Setup a new component](https://github.com/leolani/cltl-template.git)
* [Add a component to a Python app]()
## Content of this repository
This repo provides infrastructre and general code for the platform:
### Infrastructure
The `cltl.combot.infra` module contains library code for infrastructre used in
the application.
#### Event bus
Components of the application can communicate via an event bus. The
`cltl.combot.infra.event` module provides the interface and different implementations
of the event bus.
The `cltl.combot.infra.topic_worker` module provides a convenience class to
implement the subscription to one or multiple topics in the event bus.
#### Configuration manager
Configuration is made available in the application via a configuration manager.
The `cltl.combot.infra.config` module provides the interface and different
implementations of the configuration manager.
#### Resource manager
Access to resources in the application is made available via a resource manager.
This includes providing resources and waiting for resources to become available
as well as managing access to shared resources. The `cltl.combot.infra.resource`
module provides the interface and different implementations of the resource
manager.
#### Time util
The `cltl.combot.infra.time_util` module provides time related utilities to
ease the usage of a consistent time format throughout the application.
#### Dependency injection
The `cltl.combot.infra.di_container` module provides a simple utility to use
dependency inject in the application.
### Common libraries
To be added.
### Events based on EMISSOR
The `cltl.combot.event` module contains common event payloads.
## Contributing
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are **greatly appreciated**.
1. Fork the Project
2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)
3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the Branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request
<!-- LICENSE -->
## License
Distributed under the MIT License. See [`LICENSE`](https://github.com/leolani/cltl-combot/blob/main/LICENCE) for more information.
<!-- CONTACT -->
## Authors
* [Taewoon Kim](https://tae898.github.io/)
* [Thomas Baier](https://www.linkedin.com/in/thomas-baier-05519030/)
* [Selene Báez Santamaría](https://selbaez.github.io/)
* [Piek Vossen](https://github.com/piekvossen)
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.7 | Python |
نحوه نصب
نصب پکیج whl cltl.combot-0.0.dev1:
pip install cltl.combot-0.0.dev1.whl
نصب پکیج tar.gz cltl.combot-0.0.dev1:
pip install cltl.combot-0.0.dev1.tar.gz