Chatbot | Python chatbot AI that helps in creating a python | Chat library

 by   ahmadfaizalbh Python Version: v0.3.1.3-beta License: MIT

kandi X-RAY | Chatbot Summary

kandi X-RAY | Chatbot Summary

Chatbot is a Python library typically used in Messaging, Chat applications. Chatbot has no bugs, it has build file available, it has a Permissive License and it has low support. However Chatbot has 1 vulnerabilities. You can install using 'pip install Chatbot' or download it from GitHub, PyPI.

Python chatbot AI that helps in creating a python based chatbot with minimal coding. This provides both bots AI and chat handler and also allows easy integration of REST API's and python function calls which makes it unique and more powerful in functionality. This AI provides numerous features like learn, memory, conditional switch, topic-based conversation handling, etc.
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            kandi-support Support

              Chatbot has a low active ecosystem.
              It has 547 star(s) with 242 fork(s). There are 35 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 5 open issues and 19 have been closed. On average issues are closed in 11 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of Chatbot is v0.3.1.3-beta

            kandi-Quality Quality

              Chatbot has 0 bugs and 6 code smells.

            kandi-Security Security

              Chatbot has 1 vulnerability issues reported (0 critical, 1 high, 0 medium, 0 low).
              Chatbot code analysis shows 0 unresolved vulnerabilities.
              There are 2 security hotspots that need review.

            kandi-License License

              Chatbot is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              Chatbot releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              Chatbot saves you 476 person hours of effort in developing the same functionality from scratch.
              It has 1122 lines of code, 115 functions and 11 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Chatbot and discovered the below as its top functions. This is intended to give you an instant insight into Chatbot implemented functionality, and help decide if they suit your requirements.
            • Add a user message
            • Draws a triangle
            • Add an icon to the canvas
            • Show a bubble
            • Respond to the client
            • Normalize text
            • Get the response for a given topic
            • Respond to the bot
            • Save a template to a file
            • Generate and write template
            • Get a dictionary of topics
            • Say a message
            • Process action
            • Handles a message
            • Process a message
            • Add bot message
            • Display a chat demo
            • Inverse the conversation
            • Handle user input
            • Close the thread
            • Get memory set
            • Start a new session
            • Inverse the bot
            Get all kandi verified functions for this library.

            Chatbot Key Features

            No Key Features are available at this moment for Chatbot.

            Chatbot Examples and Code Snippets

            Train chatBot model .
            pythondot img1Lines of Code : 37dot img1License : Permissive (MIT License)
            copy iconCopy
            def train():
                """ Train the bot """
                test_buckets, data_buckets, train_buckets_scale = _get_buckets()
                # in train mode, we need to create the backward path, so forwrad_only is False
                model = ChatBotModel(False, config.BATCH_SIZE)
                mode  

            Community Discussions

            QUESTION

            PERMISSION_DENIED: IAM permission 'dialogflow.sessions.detectIntent' Node js
            Asked 2021-Jun-14 at 06:04

            I have created a webhook for WhatsApp Chatbot using Nodejs following this online article: https://dev.to/newtonmunene_yg/creating-a-whatsapp-chatbot-using-node-js-dialogflow-and-twilio-31km

            The webhook is linked to Twilio Sandbox for WhatsApp.

            I have also provided the DialogFlow Admin API permission to service account on Google Cloud Platform.

            When i send a new message from WhatsApp, its received on Twilio and the webhook is triggered but i am getting this error "Error: 7 PERMISSION_DENIED: IAM permission 'dialogflow.sessions.detectIntent' on 'projects/xxxx-xxx-xxxx/agent' denied." on the console on my local machine (i am using Ngrok to tunnel the localhost build to the web and using that URL as the webhook URL in Twilio).

            We have a client demo for this feature so any quick help is appreciated. I am placing my dialog flow code and controller code below

            dialogflow.ts

            ...

            ANSWER

            Answered 2021-Jun-07 at 16:46

            I think the problem is with the service account. Make sure you use the same email which is registered with Dialogflow and GCP and then create a service account.

            You can safely do this by going to the settings menu on Dialogflow and then click on the project id, it will take you to the correct place.

            Also, there may be a possibility that you forget to enable the Dialogflow API from the API section on GCP.

            Source https://stackoverflow.com/questions/67872010

            QUESTION

            How to add additional information in User-agent in jQuery ajax?
            Asked 2021-Jun-12 at 19:55

            I read about this here and here, but still I couldn't figure out how to do it in jQuery ajax. I tried the code from one of the answers of the questions I linked, but it discarded the user agent override:

            ...

            ANSWER

            Answered 2021-Jun-12 at 19:55

            jQuery uses XMLHttpRequest to send the request and is therefore subject to the same limitations and issues it has. In particular, when you call the setRequestHeader or provide a headers configuration option, a corresponding XMLHttpRequest method is used to set the headers.

            This is what jQuery does under the hood in case of the configuration object:

            Source https://stackoverflow.com/questions/67948882

            QUESTION

            Error for start script when trying to deploy Django-React with Heroku
            Asked 2021-Jun-12 at 05:53

            I am trying to deploy my first ever application, which has django for the backend and react for the frontend (with create-react-app). I followed the steps in some tutorials and managed to get my deploy build running but I am getting an error for npm start. I can't seem to find any solution, any help will be more than welcomed.

            ...

            ANSWER

            Answered 2021-Jun-12 at 05:53

            That error indicates heroku cannot start the server.

            I think you did not install gunicorn package.

            • pip install gunicorn

            and in settings.py

            Source https://stackoverflow.com/questions/67944105

            QUESTION

            Discord.js | Chatbot responds to command name
            Asked 2021-Jun-09 at 07:42

            so I'm trying to make a chatbot that sends the message after the user types the prefix and the command name. The command works in general but it seems to also take in the command name. I use a command and event handler btw. This is what it looks like:

            ...

            ANSWER

            Answered 2021-Jun-09 at 07:42

            You can join all args array items into one sentence.

            Source https://stackoverflow.com/questions/67899296

            QUESTION

            Extract entities without specifying during intent specification
            Asked 2021-Jun-07 at 10:43

            I am using Rasa 2.0 to build an FAQ chatbot, wherein I have a large dataset, and specifying entities while defining intents does not seem efficient to me.

            I have the intents and examples defined in nlu.yml and would like to extract entities.

            Here is an example of what I want to achieve,

            User message -> I want a hospital in Delhi. Entity -> Delhi, hospital

            Is it possible to do so?

            ...

            ANSWER

            Answered 2021-Jun-07 at 10:43

            You could use entity annotations in your nlu training data; for example, assuming you have defined building_type and city as entity names:

            I want a [hospital]("building_type") in [Delhi]("city").

            Alternatively, you could try out these options:

            • annotate a smaller sample (for example, those entities that are essential for your FAQ assistant)
            • use the RegexEntityExtractor to write some rules
            • if you have a list of entities, you can use lookup tables to generate the regular expressions

            Source https://stackoverflow.com/questions/67735256

            QUESTION

            Why my flutter chatbot (using ibm watson assistant) is not working?
            Asked 2021-Jun-07 at 10:13

            I'm a new flutter developer. I was following this website, but my code is not working.
            I think there is a problem with giving credential information in my flutter code. I want help.

            watson credential details (It is a dummy workspace, that's why I'm sharing credential information)

            ...

            ANSWER

            Answered 2021-Jan-20 at 20:44

            The url has to look like this https://gateway.watsonplatform.net/assistant/api/v2.

            You can also remove the username too.

            Example

            Source https://stackoverflow.com/questions/65617064

            QUESTION

            Telegram bot webhook send only commands
            Asked 2021-Jun-05 at 09:17

            I'm building a telegram chatbot in nodejs that will work on webhook. Currently, bot hits my webhook URL with every message in chat. Is it possible to only push payload on command execution for the bot?

            So I would like only to get the payload from the chat when the user executes /test command and any other messages in the chat should not git to my URL.

            #Edit

            Current setup of privacy

            'Enable' - your bot will only receive messages that either start with the '/' symbol or mention the bot by username. 'Disable' - your bot will receive all messages that people send to groups. Current status is: ENABLED

            I want to use bot in groups and in direct chat with bot - me so I can test things.

            I created a test group added the bot and whatever I type into the group I can see in logs of the Webhook URL. So no matter if its /test or some text it's beeing pushed

            #Edit 2

            This it what I receive in my webhook URL (normal chat text, and bot command)

            ...

            ANSWER

            Answered 2021-Jun-03 at 23:33

            You have to use @BotFather to set your bot privacy:

            1. Send /mybots command to @BotFather
            2. Select your bot by its username
            3. Select Bot Settings
            4. Select Group Privacy
            5. Enable or disable your bot's privacy

            If Privacy Mode is enabled, your bot only receive messages which are start with slash /

            Source https://stackoverflow.com/questions/67829741

            QUESTION

            How to set up HTTPS for Rasa chatbot?
            Asked 2021-Jun-04 at 13:38

            I have a chatbots (5 pcs) running on testbed cloud server. They all work perfectly in HTTP mode but no I need to change to HTTPS mode and there the problem started. I can get HTTPS working easily but then the chatbot widget doesn't work any more.

            My environment:
            Chatbot engine: Rasa 2.2 in docker 20.10.6 container
            Chatbot widget: Botfront webchat 0.11.12
            Web server: Nginx 1.14.0
            Server: Ubuntu 18.04

            I don't know even what is right way and after banging my head for a week and trying different ways, now I suppose I need to set up Nginx reverse proxy. I think that the problem is websocket between rasa and webchat.

            This is how I start one chatbot

            docker run --name=sakky --user 1003 -v $(pwd):/app -p "5006:5005" rasa/rasa:2.2.0-full run -m models --enable-api --cors "*" --debug

            Here are my config files Index html

            ...

            ANSWER

            Answered 2021-Jun-04 at 13:38

            Is it possible for you to update to at least Rasa 2.5? There were some socket.io fixes in that one!

            You also need to make sure you've configured your bot to have the websocket channel open.

            Source https://stackoverflow.com/questions/67805331

            QUESTION

            fetch data from php for canvas js
            Asked 2021-Jun-03 at 07:04

            ok so the thing is i need to create charts and i found canvas js, which looks promising, problem is i have the website on php and i dont know how to give data to the charts from php to jquery to charts, basically how to feed it from mysqli database and php with jquery.

            i didnt find any explanation on the main website and its chatbot want my number straight away so no use.

            this is my 2nd question so if this is not the right question to ask without any code, i am sorry, ill take care of it in the future. but i dont have any code cause i dont know where to start. with php to fetch data. and feed it to the chart through jquery.

            ...

            ANSWER

            Answered 2021-Jun-03 at 07:04

            Code-Samples for rendering chart with data from datababse is readily available in CanvasJS gallery section. You can even download working sample from download page, which you can run in your local machine directly.

            If you still unable to make it work or facing issue, share the code with brief of the issue you are facing so that the community can help you!

            Source https://stackoverflow.com/questions/67752873

            QUESTION

            Chatterbot : AttributeError: module 'time' has no attribute 'clock'
            Asked 2021-Jun-02 at 07:58

            I am trying to create a chatbot, but since latest version of chatterbot was not getting installed on my pc so I installed chatterbot by using pip install chatterbot==1.0.4 and the following error is showing up.

            How do I resolve this?

            Below is the code:

            ...

            ANSWER

            Answered 2021-Mar-25 at 14:47

            What version of python are you running? time.clock has been removed for py 3.8+

            Solutions include downgrading python or altering the source it seems:

            In Response to your comment: I'm assuming the chatterbox devs will fix this eventually but yes, downgrading to Python 3.7 will fix this: https://docs.python.org/3.7/library/time.html#time.clock

            Deprecated since version 3.3, will be removed in version 3.8: The behaviour of this function depends on the platform: use perf_counter() or process_time() instead, depending on your requirements, to have a well defined behaviour.

            Source https://stackoverflow.com/questions/66799322

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

            Vulnerabilities

            No vulnerabilities reported

            Install Chatbot

            You can install using 'pip install Chatbot' or download it from GitHub, PyPI.
            You can use Chatbot 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.

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