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import re import random class Eliza: reflections = { "am": "are", "was": "were", "i": "you", "i'd": "you would", "i've": "you have", "my": "your", "are": "am", "you've": "I have", "you'll": "I will", "your"...

stem: import re import random class Eliza: reflections = { "am": "are", "was": "were", "i": "you", "i'd": "you would", "i've": "you have", "my": "your", "are": "am", "you've": "I have", "you'll": "I will"...

import re import random class Eliza: reflections = { "am": "are" } class PhraseMatcher: def __init__(self, matcher, responses): self.matcher = re.compile(matcher) self.responses = responses def matches(self, str): return...

from playsound import playsound import pyttsx3 class LGTTSv1: def __init__(self): self.engine = pyttsx3.init() self.rate = self.engine.getProperty('rate') self.engine.setProperty('rate', 125) self.engine.setProperty('voice', 1) self.volume =...

from playsound import playsound import pyttsx3 if __name__ == "__main__": # init engine engine = pyttsx3.init() rate = engine.getProperty('rate') engine.setProperty('rate', 125) engine.setProperty('voice', 1) volume = engine.getProperty('volume')...

package skills; import AXJava.AXContextCmd; import AXJava.DrawRnd; import AXJava.Responder; import LivinGrimoire.DiSkillV2; public class DiSmoothie1 extends DiSkillV2 { private Responder base = new Responder("grapefruits", "oranges", "apples", "peaches", "melons", "pears", "carrot")...

wait a year, don't compromise. or flip a coin to choose a phone.

package skills; import AXJava.AXContextCmd; import AXJava.DrawRnd; import LivinGrimoire.DiSkillV2; public class DiSmoothie0 extends DiSkillV2 { private DrawRnd draw = new DrawRnd("grapefruits", "oranges", "apples", "peaches", "melons", "pears", "carrot"); private AXContextCmd cmd =...

public class SkillBranch extends DiSkillV2 { // unique skill used to bind similar skills /* * contains collection of skills * mutates active skill if detects conjuration * mutates active skill if algorithm results in * negative feedback * positive feedback negates...

package AXJava; public class AXLearnability { private Boolean algSent = false; // problems that may result because of the last deployed algorithm: public UniqueItemSizeLimitedPriorityQueue defcons = new UniqueItemSizeLimitedPriorityQueue();// default size = 5 // major chaotic...

*ml should be fitted with a tolerance setter

public class SkillBranch extends DiSkillV2 { private Hashtable<String,Integer> skillRef = new Hashtable<>(); private SkillHubAlgDispenser skillHub = new SkillHubAlgDispenser(); private AXLearnability ml; @Override public void input(String ear, String skin, String eye) { } }

cls updated: public class SkillHubAlgDispenser { // super class to output an algorithm out of a selection of skills // engage the hub with dispenseAlg and return the value to outAlg attribute // of the containing skill (which houses the skill hub) // this module enables using...