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ai-chatbot-framework | python chatbot framework with Natural Language Understanding | Chat library

 by   alfredfrancis Python Version: v2.2.1 License: MIT

 by   alfredfrancis Python Version: v2.2.1 License: MIT

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kandi X-RAY | ai-chatbot-framework Summary

ai-chatbot-framework is a Python library typically used in Telecommunications, Media, Media, Entertainment, Messaging, Chat applications. ai-chatbot-framework has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.
Building a chatbot can sound daunting, but it’s totally doable. AI Chatbot Framework is an AI powered conversational dialog interface built in Python. With this tool, it’s easy to create Natural Language conversational scenarios with no coding efforts whatsoever. The smooth UI makes it effortless to create and train conversations to the bot and it continuously gets smarter as it learns from conversations it has with people. AI Chatbot Framework can live on any channel of your choice (such as Messenger, Slack etc.) by integrating it’s API with that platform. You don’t need to be an expert at artificial intelligence to create an awesome chatbot that has AI capabilities. With this boilerplate project you can create an AI powered chatting machine in no time.There may be scores of bugs. So feel free to contribute via pull requests.
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kandi-support Support

  • ai-chatbot-framework has a medium active ecosystem.
  • It has 1486 star(s) with 626 fork(s). There are 130 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 17 open issues and 89 have been closed. On average issues are closed in 73 days. There are 1 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of ai-chatbot-framework is v2.2.1
ai-chatbot-framework Support
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quality kandi Quality

  • ai-chatbot-framework has 0 bugs and 0 code smells.
ai-chatbot-framework Quality
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ai-chatbot-framework Quality
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securitySecurity

  • ai-chatbot-framework has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • ai-chatbot-framework code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
ai-chatbot-framework Security
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ai-chatbot-framework Security
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license License

  • ai-chatbot-framework is licensed under the MIT License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
ai-chatbot-framework License
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ai-chatbot-framework License
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buildReuse

  • ai-chatbot-framework releases are available to install and integrate.
  • Build file is available. You can build the component from source.
  • Installation instructions are not available. Examples and code snippets are available.
  • ai-chatbot-framework saves you 1031 person hours of effort in developing the same functionality from scratch.
  • It has 2341 lines of code, 98 functions and 99 files.
  • It has medium code complexity. Code complexity directly impacts maintainability of the code.
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ai-chatbot-framework Reuse
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Top functions reviewed by kandi - BETA

kandi has reviewed ai-chatbot-framework and discovered the below as its top functions. This is intended to give you an instant insight into ai-chatbot-framework implemented functionality, and help decide if they suit your requirements.

  • Returns the result of the API
    • Calculate the intent and classify the intent
    • Predict the given sentence
    • Predict the probability of each element
  • Create default bot
    • Train and store the model
    • Imports Intent from a JSON file
    • Train intent classifier
  • Create the Flask application
    • Update the intent model
    • Return a dictionary of synonyms
    • Load the model from disk
  • Create a new Intent object
    • Update a document
  • Delete an intent by id
    • Imports a post request
      • Update an entity
        • Update an intent
          • Builds models

            Get all kandi verified functions for this library.

            Get all kandi verified functions for this library.

            ai-chatbot-framework Key Features

            A python chatbot framework with Natural Language Understanding and Artificial Intelligence.

            Using docker-compose (Recommended)

            copy iconCopydownload iconDownload
            docker-compose build
            docker-compose up -d
            docker-compose exec iky_backend python manage.py migrate
            

            Using Docker

            copy iconCopydownload iconDownload
            
            # build docker images
            docker build -t iky_backend:2.0.0 .
            docker build -t iky_gateway:2.0.0 frontend/.
            
            # start a mongodb server
            docker run --name mongodb -d mongo:3.6
            
            # start iky backend
            docker run --name=iky_backend --link mongodb:mongodb -e="APPLICATION_ENV=Production" iky_backend:2.0.0
            
            # setup default intents
            docker exec -it iky_backend python manage.py migrate
            
            # start iky gateway with frontend
            docker run --name=iky_gateway --link iky_backend:iky_backend -p 8080:80 iky_gateway:2.0.0
            
            

            without docker

            copy iconCopydownload iconDownload
            make setup
            
            make run_dev
            
            source venv/bin/activate && python manage.py migrate
            

            Community Discussions

            Trending Discussions on Chat
            • react-native-gifted-chat How to send on pressing return
            • Mongodb Mongoose sort and paginate chat messages
            • Testproject Messager with Flutter using Peer-to-Peer Technology
            • How does the disconnect event works in socket.io?
            • Perform action on seen/unseen messages with socket.io
            • Ngfor doesn't actualize on reloading page (Angular + RXJS)
            • BrokenPipeError on socket
            • How to handle thousands of messages in a real-time group chat with Firestore?
            • How to get information from a client socket and display information on a server?
            • all messages time stamps keep updating to current time when a message is sent
            Trending Discussions on Chat

            QUESTION

            react-native-gifted-chat How to send on pressing return

            Asked 2022-Feb-21 at 11:33

            How do I make the return button on the mobile keyboard send the message instead of creating a new line? I tried using onSubmitEditing in the textInputProps but couldn't get it to work.

            ANSWER

            Answered 2022-Feb-21 at 11:33

            You need to implement your own ChatComposer and pass the onSubmitEditing prop in the textInputProps in there. In order to prevent keyboard dismiss you also need to set blurOnSubmit to false.

            const [messages, setMessages] = useState([])
            
            
            const onSend = useCallback((messages = []) => {
                setMessages((previousMessages) => GiftedChat.append(previousMessages, messages))
            }, [])
            
            const ChatComposer = (
                props: ComposerProps & {
                  onSend: SendProps<IMessage>["onSend"]
                  text: SendProps<IMessage>["text"]
                }
            ) => {
                return (
                  <Composer
                    {...props}
                    textInputProps={{
                      ...props.textInputProps,
                      blurOnSubmit: false,
                      multiline: false,
                      onSubmitEditing: () => {
                        if (props.text && props.onSend) {
                          props.onSend({ text: props.text.trim() }, true)
                        }
                      },
                    }}
                  />
                )
             }
            
            return (
                <GiftedChat messages={messages} onSend={onSend} renderComposer={ChatComposer} />
              )
            

            If you want to remove the default send button from the text input field on the right, you need to pass a custom renderSend button, which could be empty, e.g.

            renderSend={() => {}}
            

            Notice, that I have tested all of the above on iOS only. Android might behave differently.

            Source https://stackoverflow.com/questions/71203028

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install ai-chatbot-framework

            You can download it from GitHub.
            You can use ai-chatbot-framework like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            SKLearn documentationCRFsuite documentationpython CRfSuite

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