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prev ver: class DiVoiceEffects(Skill): # Ensure that you have a "voices" directory in the same location as this script. # Place your .mp3 files inside this folder. The filenames should be sanitized # (lowercase, spaces replaced with underscores) for smooth playback. def...

import cv2 import numpy as np class DiHuskyLensReco(Skill): def __init__(self): super().__init__() self._skill_lobe = 5 self.cap = cv2.VideoCapture(0) self._object_registry = {} # object_hash -> unique_id self._next_id = 1 self.detector =...

import requests import json import threading import time # Initialize conversation history conversation_history = [] # Global variables for async operation is_working = False current_reply = "" def talk_to_waifu(prompt, history): global is_working, current_reply # Build the full...

import requests import json def call_venice_api(prompt, api_key): api_url = "https://api.venice.ai/v1/generate" payload = { "prompt": prompt, "model": "venice-uncensored-1.1", "max_tokens": 150 } headers = { "Content-Type": "application/json"...

import random class DiSeasonBanter(Skill): def __init__(self): super().__init__() self.current_side = "duck" # AI's current stance self.last_user_side = None # Track user’s previous side self.toleranceCount = 0 # Loop safety valve...

🧠 Step 1: Choose Your LLM Pick a model that suits your hardware and goals. Popular choices: LLaMA 3 (Meta) Mistral Gemma GPT4All These models are available in GGUF format and optimized for local use. ⚙️ Step 2: Install Ollama Ollama is a user-friendly tool to run LLMs locally. curl...

Here’s a clean Python walkthrough to connect your AI agent to Zapier MCP—no spaghetti, just the essentials. This setup lets your agent call real-world actions like checking rain alerts, sending emails, or posting to Slack using natural language. 🧰 Prerequisites Python 3.8+ Node.js (for...

the livingrimoire is an AGI software design pattern, that allows absorbing skills using 1 line of code per skill. another way to add skills to the AI, now is simply done by copy pasting skill files(.py) into the project's DLC directory. so any skill(image reco, speech reco, face reco...

import re def extract_dollar_amount(text: str) -> int: # Use a regex to find a number before the word "dollars" match = re.search(r'sends\s+(\d+)\s+dollars', text, re.IGNORECASE) if match: amount = int(match.group(1)) return amount if amount > 0 else -1 return -1...

class YogaFlowHero(Skill): def __init__(self): super().__init__() self.set_skill_type(3) # burst mode skill self.mode: bool = True self.r2 = Responder( "Take a deep breath", "Child's Pose", "Seated forward fold", "Lie on your back"...

from LivinGrimoirePacket.LivinGrimoire import Skill from LivinGrimoirePacket.AXPython import Catche import re class DiTargeteer(Skill): def __init__(self): super().__init__() self.catche = Catche(maxsize=10) # Memory buffer for recent objectives self.triggers =...

class DiOneWorder(Skill): def __init__(self, phrase: str = "chi"): super().__init__() # Call the superclass constructor self.cry: str = f'{phrase} ' self.toggler: str = phrase self.drip: PercentDripper = PercentDripper() # Assuming PercentDripper is...

class TrgParrot: # simulates a parrot chirp trigger mechanism # as such this trigger is off at night # in essence this trigger says: I am here, are you here? good. def __init__(self, limit: int): super().__init__() temp_lim: int = 3 if limit > 0...

// ╔════════════════════════════════════════════════════════════════════════╗ // ║ TABLE OF CONTENTS ║ // ╠════════════════════════════════════════════════════════════════════════╣ // ║ 1. STRING CONVERTERS...

class MemoryCore: def __init__(self, dialogue_limit=10, emotion_limit=10, tokens_limit=5): self.recent_dialogue = Catche(dialogue_limit) # Stores recent user and bot utterances self.recent_emotions = Catche(emotion_limit) # Stores keywords/emotional triggers...

class DiMirror(Skill): def __init__(self): super().__init__() self.mirror_memory = self.getKokoro().grimoireMemento.load('mirror_persona') or {} def input(self, ear, skin, eye): # Learn keywords from user words = ear.lower().split() for word in...

import re def extract_code_number(s): match = re.fullmatch(r"code (\d+)", s) if match: return int(match.group(1)) return -1 # Examples print(extract_code_number("code 123")) # Output: 123 print(extract_code_number("hello world")) # Output: -1...

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