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ChatterBot | machine learning , conversational dialog engine | Chat library

 by   gunthercox Python Version: 1.0.8 License: BSD-3-Clause

 by   gunthercox Python Version: 1.0.8 License: BSD-3-Clause

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kandi X-RAY | ChatterBot Summary

ChatterBot is a Python library typically used in Messaging, Chat applications. ChatterBot has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install ChatterBot' or download it from GitHub, PyPI.
ChatterBot is a machine-learning based conversational dialog engine build in Python which makes it possible to generate responses based on collections of known conversations. The language independent design of ChatterBot allows it to be trained to speak any language.
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kandi-support Support

  • ChatterBot has a medium active ecosystem.
  • It has 11197 star(s) with 3784 fork(s). There are 555 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 245 open issues and 1235 have been closed. On average issues are closed in 79 days. There are 25 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of ChatterBot is 1.0.8
ChatterBot Support
Best in #Chat
Average in #Chat
ChatterBot Support
Best in #Chat
Average in #Chat

quality kandi Quality

  • ChatterBot has 0 bugs and 0 code smells.
ChatterBot Quality
Best in #Chat
Average in #Chat
ChatterBot Quality
Best in #Chat
Average in #Chat

securitySecurity

  • ChatterBot has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • ChatterBot code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
ChatterBot Security
Best in #Chat
Average in #Chat
ChatterBot Security
Best in #Chat
Average in #Chat

license License

  • ChatterBot is licensed under the BSD-3-Clause License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
ChatterBot License
Best in #Chat
Average in #Chat
ChatterBot License
Best in #Chat
Average in #Chat

buildReuse

  • ChatterBot 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.
  • ChatterBot saves you 4307 person hours of effort in developing the same functionality from scratch.
  • It has 9130 lines of code, 671 functions and 140 files.
  • It has low code complexity. Code complexity directly impacts maintainability of the code.
ChatterBot Reuse
Best in #Chat
Average in #Chat
ChatterBot Reuse
Best in #Chat
Average in #Chat
Top functions reviewed by kandi - BETA

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

  • Returns a filtered list of objects .
  • Get a response .
  • Gets a date from a relative week year .
  • Search for close text matching criteria .
  • Download the given url .
  • Return a string representation of text .
  • Validates that validate_class is a subclass of validate_class .
  • Train the conversation .
  • Selects the most frequent statement in response_list .
  • Process the math statement .

ChatterBot Key Features

ChatterBot is a machine learning, conversational dialog engine for creating chat bots

Installation

copy iconCopydownload iconDownload
pip install chatterbot

Basic Usage

copy iconCopydownload iconDownload
from chatterbot import ChatBot
from chatterbot.trainers import ChatterBotCorpusTrainer

chatbot = ChatBot('Ron Obvious')

# Create a new trainer for the chatbot
trainer = ChatterBotCorpusTrainer(chatbot)

# Train the chatbot based on the english corpus
trainer.train("chatterbot.corpus.english")

# Get a response to an input statement
chatbot.get_response("Hello, how are you today?")

Training data

copy iconCopydownload iconDownload
from chatterbot.trainers import ChatterBotCorpusTrainer

# Create a new trainer for the chatbot
trainer = ChatterBotCorpusTrainer(chatbot)

# Train based on the english corpus
trainer.train("chatterbot.corpus.english")

# Train based on english greetings corpus
trainer.train("chatterbot.corpus.english.greetings")

# Train based on the english conversations corpus
trainer.train("chatterbot.corpus.english.conversations")

change div to increase progress bar

copy iconCopydownload iconDownload
let percent = document.getElementById('percent');
let bar = document.getElementById('bar');
let input = document.getElementById('bingo1');
let counter = 0;

function update() {
  if (input.value.indexOf("Bingo") != -1)
  { 
    var count = (input.value.match(/Bingo/g) || []).length;
    counter = count * 10;
    
    if(counter >= 100)
      counter = 100;
      
    percent.innerHTML = `${counter}%`;
    bar.style.width = `${counter}%`;
  } 
}

input.addEventListener('input', update);
#progress {
 width: 500px;   
 border: 1px solid black;
 position: relative;
 padding: 3px;
}

#percent {
 position: absolute;   
 left: 50%;
}

#bar {
 height: 20px;
 background-color: green;
 width: 0%;
}
<label>Input: </label>
<input class="msg-text" id="bingo1"><br><br>

<div id="progress">
    <span id="percent">0%</span>
    <div id="bar"></div>
</div><br><br>
-----------------------
let percent = document.getElementById('percent');
let bar = document.getElementById('bar');
let input = document.getElementById('bingo1');
let counter = 0;

function update() {
  if (input.value.indexOf("Bingo") != -1)
  { 
    var count = (input.value.match(/Bingo/g) || []).length;
    counter = count * 10;
    
    if(counter >= 100)
      counter = 100;
      
    percent.innerHTML = `${counter}%`;
    bar.style.width = `${counter}%`;
  } 
}

input.addEventListener('input', update);
#progress {
 width: 500px;   
 border: 1px solid black;
 position: relative;
 padding: 3px;
}

#percent {
 position: absolute;   
 left: 50%;
}

#bar {
 height: 20px;
 background-color: green;
 width: 0%;
}
<label>Input: </label>
<input class="msg-text" id="bingo1"><br><br>

<div id="progress">
    <span id="percent">0%</span>
    <div id="bar"></div>
</div><br><br>
-----------------------
let percent = document.getElementById('percent');
let bar = document.getElementById('bar');
let input = document.getElementById('bingo1');
let counter = 0;

function update() {
  if (input.value.indexOf("Bingo") != -1)
  { 
    var count = (input.value.match(/Bingo/g) || []).length;
    counter = count * 10;
    
    if(counter >= 100)
      counter = 100;
      
    percent.innerHTML = `${counter}%`;
    bar.style.width = `${counter}%`;
  } 
}

input.addEventListener('input', update);
#progress {
 width: 500px;   
 border: 1px solid black;
 position: relative;
 padding: 3px;
}

#percent {
 position: absolute;   
 left: 50%;
}

#bar {
 height: 20px;
 background-color: green;
 width: 0%;
}
<label>Input: </label>
<input class="msg-text" id="bingo1"><br><br>

<div id="progress">
    <span id="percent">0%</span>
    <div id="bar"></div>
</div><br><br>

Cant import chatterbot

copy iconCopydownload iconDownload
from chatterbot.conversation import Statement

Cannot import name 'input_function' from 'chatterbot.utils'

copy iconCopydownload iconDownload
from chatterbot.conversation import Statement

Chatterbot : AttributeError: module 'time' has no attribute 'clock'

copy iconCopydownload iconDownload

if win32 or jython:
    time_func = time.clock
    
else:
    time_func = time.time


if win32 or jython:
    #time_func = time.clock
    pass
else:
    time_func = time.time

-----------------------

if win32 or jython:
    time_func = time.clock
    
else:
    time_func = time.time


if win32 or jython:
    #time_func = time.clock
    pass
else:
    time_func = time.time

How to stop infinite loop in simple chatbot

copy iconCopydownload iconDownload
human_input=input('Talk to me again: ')

ChatterBot error- OSError: [E941] Can't find model 'en'

copy iconCopydownload iconDownload
File "C:\Users\USER\AppData\Local\Programs\Python\Python37\lib\site-packages\chatterbot\tagging.py", line 13, in __init__
    self.nlp = spacy.load(self.language.ISO_639_1.lower())
if self.language.ISO_639_1.lower() == 'en':
    self.nlp = spacy.load('en_core_web_sm')
else:
    self.nlp = spacy.load(self.language.ISO_639_1.lower())
-----------------------
File "C:\Users\USER\AppData\Local\Programs\Python\Python37\lib\site-packages\chatterbot\tagging.py", line 13, in __init__
    self.nlp = spacy.load(self.language.ISO_639_1.lower())
if self.language.ISO_639_1.lower() == 'en':
    self.nlp = spacy.load('en_core_web_sm')
else:
    self.nlp = spacy.load(self.language.ISO_639_1.lower())
-----------------------
#supuestamente arreglado
import string
from chatterbot import languages
import spacy


class PosLemmaTagger(object):

    def __init__(self, language=None):
        self.language = language or languages.ENG

        self.punctuation_table = str.maketrans(dict.fromkeys(string.punctuation))

        if self.language.ISO_639_1.lower() == 'en':
            self.nlp = spacy.load('en_core_web_sm')
        else:
            self.nlp = spacy.load(self.language.ISO_639_1.lower())
    
        if self.language.ISO_639_1.lower() == 'es':
            self.nlp = spacy.load('es_core_news_sm')
        else:
            self.nlp = spacy.load(self.language.ISO_639_1.lower())

        if self.language.ISO_639_1.lower() == 'xx':
            self.nlp = spacy.load('xx_ent_wiki_sm')
        else:
            self.nlp = spacy.load(self.language.ISO_639_1.lower())

    def get_bigram_pair_string(self, text):
        """
        Return a string of text containing part-of-speech, lemma pairs.
        """
        bigram_pairs = []

        if len(text) <= 2:
            text_without_punctuation = text.translate(self.punctuation_table)
            if len(text_without_punctuation) >= 1:
                text = text_without_punctuation

        document = self.nlp(text)

        if len(text) <= 2:
            bigram_pairs = [
                token.lemma_.lower() for token in document
            ]
        else:
            tokens = [
                token for token in document if token.is_alpha and not token.is_stop
            ]

            if len(tokens) < 2:
                tokens = [
                    token for token in document if token.is_alpha
                ]

            for index in range(1, len(tokens)):
                bigram_pairs.append('{}:{}'.format(
                    tokens[index - 1].pos_,
                    tokens[index].lemma_.lower()
                ))

        if not bigram_pairs:
            bigram_pairs = [
                token.lemma_.lower() for token in document
            ]

        return ' '.join(bigram_pairs)
-----------------------
 python -m spacy download en_core_web_sm
nlp = spacy.load("en_core_web_sm")
python -m spacy link en_core_web_sm en
-----------------------
 python -m spacy download en_core_web_sm
nlp = spacy.load("en_core_web_sm")
python -m spacy link en_core_web_sm en
-----------------------
 python -m spacy download en_core_web_sm
nlp = spacy.load("en_core_web_sm")
python -m spacy link en_core_web_sm en
-----------------------
import spacy
from spacy.cli.download import download
download(model="en_core_web_sm")
-----------------------
self.nlp = spacy.load(self.language.ISO_639_1.lower()) 
  if self.language.ISO_639_1.lower() == 'en':
     self.nlp = spacy.load('en_core_web_sm')
  else:
    self.nlp = spacy.load(self.language.ISO_639_1.lower()) 
-----------------------
self.nlp = spacy.load(self.language.ISO_639_1.lower()) 
  if self.language.ISO_639_1.lower() == 'en':
     self.nlp = spacy.load('en_core_web_sm')
  else:
    self.nlp = spacy.load(self.language.ISO_639_1.lower()) 

Chatterbot corpus not found

copy iconCopydownload iconDownload
pip install --ignore-installed chatterbot_corpus

Pip fails to install library and I don't know why (chatterbot)

copy iconCopydownload iconDownload
pip install chatterbot==1.0.2

Chatterbot how to get multiple responses

copy iconCopydownload iconDownload
trainer = ChatterBotCorpusTrainer(chatbot)
trainer.train('chatterbot.corpus.custom')

python: (calling all experts out there to help) how do i write a chatbot which can commands and execute a python function?

copy iconCopydownload iconDownload
 import spacy
 nlp = spacy.load('en_core_web_md')
 doc = nlp('Get me all sales numbers for August in the Delhi')
 for token in doc:
    print(token.text,token.dep_,token.pos_)
| 'Word'  | 'DEPENDENY' | 'POS'  |
----------------------------------
|'Get'    |   'ROOT'    | 'AUX'  |
|'me',    |  'dative'   | 'PRON' |
|'all'    |   'det'     | 'DET'  |
|'sales'  | 'compound'  | 'NOUN' |
|'numbers'|   'dobj'    | 'NOUN' |
|'for'    |   'prep'    | 'ADP'  |
|'August' |   'pobj'    | 'PROPN'|
|'in'     |   'prep'    | 'ADP'  |
|'the'    |   'det'     | 'DET'  |
|'Delhi'  |   'pobj'    | 'PROPN'|
df[DEPENDENY.compound].mean()
-----------------------
 import spacy
 nlp = spacy.load('en_core_web_md')
 doc = nlp('Get me all sales numbers for August in the Delhi')
 for token in doc:
    print(token.text,token.dep_,token.pos_)
| 'Word'  | 'DEPENDENY' | 'POS'  |
----------------------------------
|'Get'    |   'ROOT'    | 'AUX'  |
|'me',    |  'dative'   | 'PRON' |
|'all'    |   'det'     | 'DET'  |
|'sales'  | 'compound'  | 'NOUN' |
|'numbers'|   'dobj'    | 'NOUN' |
|'for'    |   'prep'    | 'ADP'  |
|'August' |   'pobj'    | 'PROPN'|
|'in'     |   'prep'    | 'ADP'  |
|'the'    |   'det'     | 'DET'  |
|'Delhi'  |   'pobj'    | 'PROPN'|
df[DEPENDENY.compound].mean()
-----------------------
 import spacy
 nlp = spacy.load('en_core_web_md')
 doc = nlp('Get me all sales numbers for August in the Delhi')
 for token in doc:
    print(token.text,token.dep_,token.pos_)
| 'Word'  | 'DEPENDENY' | 'POS'  |
----------------------------------
|'Get'    |   'ROOT'    | 'AUX'  |
|'me',    |  'dative'   | 'PRON' |
|'all'    |   'det'     | 'DET'  |
|'sales'  | 'compound'  | 'NOUN' |
|'numbers'|   'dobj'    | 'NOUN' |
|'for'    |   'prep'    | 'ADP'  |
|'August' |   'pobj'    | 'PROPN'|
|'in'     |   'prep'    | 'ADP'  |
|'the'    |   'det'     | 'DET'  |
|'Delhi'  |   'pobj'    | 'PROPN'|
df[DEPENDENY.compound].mean()

Community Discussions

Trending Discussions on ChatterBot
  • change div to increase progress bar
  • Error installing chatterbot, stuck on spacy
  • Trying to run chatbot on Discord but get AttributeError: type object 'ChatBot' has no attribute 'request'
  • my pip install in python shell is not working
  • Cant import chatterbot
  • Cannot import name 'input_function' from 'chatterbot.utils'
  • what is the use of the bot's name in Python ChatterBot?
  • Chatterbot : AttributeError: module 'time' has no attribute 'clock'
  • How to stop infinite loop in simple chatbot
  • ChatterBot error- OSError: [E941] Can't find model 'en'
Trending Discussions on ChatterBot

QUESTION

change div to increase progress bar

Asked 2022-Feb-10 at 01:43

I'm working to have my progress bar increase when a specific word is said (Bingo) This is a conversation between a user and a chatbot, where the user is trying to guess a secret that the chatbot olds. Every time the user gets it right, the chatbot replies with "Bingo! " I was hoping to increase the progress bar every time the chatbot replies with "Bingo! " and when the progress bare hits 100% it should restart back to 0%. I get the progress bar shows, but it does not increase. I was thinking of having to loop through the div to look for "Bingo" and change the div in the progress bar. Or simply have a "Bingo" as a variable and match it to the div="bingo1" and then increase the progress bar. What would be the most efficient way? enter image description here

I'm using chatterbot which contains the conversation between the user and chatbot in a .yml file, so it is possible to do something there

function myBingo(){
  if (document.getElementById('bingo1').innerHTML.indexOf("Bingo")){ 
    // change progress bar to 10%
  } 
}
#progress {
 width: 500px;   
 border: 1px solid black;
 position: relative;
 padding: 3px;
}
#percent {
 position: absolute;   
 left: 50%;
}
#bar {
 height: 20px;
 background-color: green;
 width: 0%;
}
<!-- I added an id here -->
<div class="msg-text" id="bingo1">Bingo! The secret is Garfield</div>

<div id="progress">
    <span id="percent">0%</span>
    <div id="bar"></div>
</div>

ANSWER

Answered 2022-Feb-09 at 22:50

He might have given a different answer as he didn't quite understand what he wanted. In the solution below, the progress bar will be increased by the number of Bingo expressions entered into the item whose id value is bingo1.

If you're asking something different, please edit the question or comment below this answer.

enter image description here

let percent = document.getElementById('percent');
let bar = document.getElementById('bar');
let input = document.getElementById('bingo1');
let counter = 0;

function update() {
  if (input.value.indexOf("Bingo") != -1)
  { 
    var count = (input.value.match(/Bingo/g) || []).length;
    counter = count * 10;
    
    if(counter >= 100)
      counter = 100;
      
    percent.innerHTML = `${counter}%`;
    bar.style.width = `${counter}%`;
  } 
}

input.addEventListener('input', update);
#progress {
 width: 500px;   
 border: 1px solid black;
 position: relative;
 padding: 3px;
}

#percent {
 position: absolute;   
 left: 50%;
}

#bar {
 height: 20px;
 background-color: green;
 width: 0%;
}
<label>Input: </label>
<input class="msg-text" id="bingo1"><br><br>

<div id="progress">
    <span id="percent">0%</span>
    <div id="bar"></div>
</div><br><br>

Source https://stackoverflow.com/questions/71057000

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

Vulnerabilities

No vulnerabilities reported

Install ChatterBot

This package can be installed from PyPi by running:.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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