When people don’t respect you, they’ll either be very obvious about…
When people don’t respect you, they’ll either be very obvious about it, or a sneaky snake. Both are harmful…
Lol 😂😂😂
God’s got big plans for you, just hold on a little bit longer you’ll…
F – Fake when you need them the most
F – Fake when you need them the most
R – Ready to gossip behind your back
I – Invisible when you’re struggling
E – Expecting everything, giving nothing
N – Never there when it matters
D – Disloyal in a heartbeat
S – Smiling to your face, scheming behind your back
How I know my job lures me.
Success says:
Disappointments are a part of growth, I’m sure seeds have a hard time…
Disappointments are a part of growth, I’m sure seeds have a hard time growing up in this world as well. lol…
[8/10, 7:05 AM] ܝܗܘܐ𓈞𓅱𓈉𓇌𓅓𓈉𓏏𓀀 𓈚𓈖𓏤𓂋𓅓𓇌𓅓𓂧𓇌𓀀 𓎡: import os
[8/10, 7:05 AM] ܝܗܘܐ𓈞𓅱𓈉𓇌𓅓𓈉𓏏𓀀 𓈚𓈖𓏤𓂋𓅓𓇌𓅓𓂧𓇌𓀀 𓎡: import os
import shutil
import speech_recognition as sr
import pyttsx3
import json
import threading
import queue
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
import nltk
from nltk.tokenize import word_tokenize
from nltk.corpus import stopwords
from nltk.stem import WordNetLemmatizer
import numpy as np
import spacy
import pickle
from textblob import TextBlob
from fuzzywuzzy import fuzz
from collections import defaultdict
import datetime
import requests
import wolframalpha
import wikipedia
import pyaudio
import wave
import keyboard
import sys
import re
import openai
import logging
# Find the path to the “My Documents” folder
documents_path = os.path.join(os.path.expanduser(“~”), “Documents”)
log_file_path = os.path.join(documents_path, “Ephippas.txt”)
code_update_path = os.path.join(documents_path, “GoldchickenEggs.txt”)
# Ensure “eggs” folder exists and clear its contents
eggs_folder = os.path.join(documents_path, “eggs”)
if os.path.exists(eggs_folder):
shutil.rmtree(eggs_folder)
os.makedirs(eggs_folder, exist_ok=True)
# Ensure full conversation file and Golden Goose file exist
full_conversation_file = os.path.join(eggs_folder, “Full_AI_Conversation.txt”)
if not os.path.exists(full_conversation_file):
with open(full_conversation_file, “w”, encoding=”utf-8″) as f:
f.write(“”)
golden_goose_file = os.path.join(eggs_folder, “Golden_Goose.txt”)
if not os.path.exists(golden_goose_file):
with open(golden_goose_file, “w”, encoding=”utf-8″) as f:
f.write(“”)
# Configure logging
logging.basicConfig(filename=log_file_path, level=logging.INFO, format=’%(asctime)s – %(levelname)s – %(message)s’)
# Download necessary NLTK data
nltk.download(‘punkt’, quiet=True)
nltk.download(‘stopwords’, quiet=True)
nltk.download(‘wordnet’, quiet=True)
# Load spaCy model
nlp = spacy.load(“en_core_web_sm”)
# Load a more powerful language model for code generation
code_model_name = “microsoft/CodeGPT-small-py”
code_tokenizer = AutoTokenizer.from_pretrained(code_model_name)
code_model = AutoModelForCausalLM.from_pretrained(code_model_name)
# Create a text generation pipeline for code
code_generator = pipeline(“text-generation”, model=code_model, tokenizer=code_tokenizer)
# Load a smaller, efficient language model for general text generation
text_model_name = “distilgpt2”
text_tokenizer = AutoTokenizer.from_pretrained(text_model_name)
text_model = AutoModelForCausalLM.from_pretrained(text_model_name)
# Create a text generation pipeline for general text
text_generator = pipeline(“text-generation”, model=text_model, tokenizer=text_tokenizer)
# Constants
LEARNING_DATA_FILE_TEMPLATE = os.path.join(eggs_folder, “{}_learning_data.json”)
MODEL_FILE_TEMPLATE = os.path.join(eggs_folder, “{}_ai_model.pkl”)
VECTORIZER_FILE_TEMPLATE = os.path.join(eggs_folder, “{}_vectorizer.pkl”)
SIMILARITY_THRESHOLD = 0.7
WAKE_WORD = “hey assistant”
MAX_CONVERSATIONS = 2000
CONTEXT_WINDOW = 5
AUDIO_FILE = “user_audio.wav”
RESPONSE_COUNT_FILE = os.path.join(eggs_folder, “response_count.txt”)
API_KEYS_FILE = os.path.join(eggs_folder, “api_keys.txt”)
# API keys
OPENWEATHER_API_KEY = “your_openweather_api_key”
WOLFRAM_ALPHA_APP_ID = “your_wolfram_alpha_app_id”
OPENAI_API_KEY = “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”
# Save API keys to a file
with open(API_KEYS_FILE, ‘w’) as f:
f.write(f”OPENWEATHER_API_KEY={OPENWEATHER_API_KEY}\n”)
f.write(f”WOLFRAM_ALPHA_APP_ID={WOLFRAM_ALPHA_APP_ID}\n”)
f.write(f”OPENAI_API_KEY={OPENAI_API_KEY}\n”)
# Initialize OpenAI API
openai.api_key = OPENAI_API_KEY
# Initialize speech recognition and text-to-speech engines
recognizer = sr.Recognizer()
engine = pyttsx3.init()
# Thread-safe queue for audio processing
audio_queue = queue.Queue()
# Global variables
learning_data = {}
ai_models = {}
vectorizers = {}
lemmatizer = WordNetLemmatizer()
# Initialize sentiment analysis and named entity recognition pipelines
sentiment_analyzer = pipeline(“sentiment-analysis”, model=”distilbert-base-uncased-finetuned-sst-2-english”,
revision=”af0f99b”)
ner_model = pipeline(“ner”, model=”dbmdz/bert-large-cased-finetuned-conll03-english”)
def load_learning_data(ai_name):
logging.info(f”Loading learning data for {ai_name}…”)
learning_data_path = LEARNING_DATA_FILE_TEMPLATE.format(ai_name)
try:
with open(learning_data_path, “r”, encoding=”utf-8″) as f:
data = json.load(f)
logging.info(f”Learning data loaded successfully for {ai_name}.”)
except (FileNotFoundError, json.JSONDecodeError):
logging.info(f”Starting with initial example data for {ai_name}.”)
data = {
“conversations”: [
{“input”: “hello”, “response”: “Hi there! How can I help you today?”},
{“input”: “what is your name”, “response”: f”I am {ai_name}, your AI assistant, always ready to help!”},
{“input”: “what can you do”,
“response”: f”I can assist with various tasks such as answering questions, setting reminders, checking weather, generating and explaining code, and more. Feel free to ask me anything!”},
],
“keywords”: {},
“entities”: defaultdict(list),
“reminders”: []
}
return data
def save_learning_data(data, ai_name):
logging.info(f”Saving learning data for {ai_name}…”)
learning_data_path = LEARNING_DATA_FILE_TEMPLATE.format(ai_name)
try:
with open(learning_data_path, “w”, encoding=”utf-8″) as f:
json.dump(data, f)
logging.info(f”Learning data saved successfully for {ai_name}.”)
except IOError as e:
logging.error(f”Error saving learning data for {ai_name}: {e}”)
def preprocess_text(text):
tokens = word_tokenize(text.lower())
stop_words = set(stopwords.words(‘english’))
return [lemmatizer.lemmatize(word) for word in tokens if word is not None and word.isalnum() and word not in stop_words]
def extract_entities(text):
logging.info(f”Extracting entities from: {text}”)
return ner_model(text)
def calculate_sentiment(text):
logging.info(f”Calculating sentiment for: {text}”)
result = sentiment_analyzer(text)[0]
return result[‘score’] if result[‘label’] == ‘POSITIVE’ else -result[‘score’]
def get_context(conversations, current_index, window_size=CONTEXT_WINDOW):
start = max(0, current_index – window_size)
context = conversations[start:current_index]
return ” “.join([conv[“input”] + ” ” + conv[“response”] for conv in context])
def generate_code(prompt, max_length=100):
full_prompt = f”Generate Python code for: {prompt}\n\nCode:\n”
try:
generated = code_generator(full_prompt, max_length=max_length, num_return_sequences=1)[0][‘generated_text’]
code_match = re.search(r’Code:\n(.+)’, generated, re.DOTALL)
if code_match:
code = code_match.group(1).strip()
logging.info(f”Generated code: {code}”)
return code
else:
logging.error(“Failed to generate code.”)
return “Sorry, I couldn’t generate code for that request.”
except Exception as e:
logging.error(f”Error generating code: {e}”)
return “Sorry, there was an error generating the code.”
def explain_code(code):
full_prompt = f”Explain the following Python code:\n\n{code}\n\nExplanation:”
try:
explanation = code_generator(full_prompt, max_length=200, num_return_sequences=1)[0][‘generated_text’]
explanation_match = re.search(r’Explanation:(.+)’, explanation, re.DOTALL)
if explanation_match:
explanation_text = explanation_match.group(1).strip()
logging.info(f”Code explanation: {explanation_text}”)
return explanation_text
else:
logging.error(“Failed to generate code explanation.”)
return “Sorry, I couldn’t generate an explanation for that code.”
except Exception as e:
logging.error(f”Error explaining code: {e}”)
return “Sorry, there was an error explaining the code.”
def get_next_response_number():
try:
with open(RESPONSE_COUNT_FILE, “r”, encoding=”utf-8″) as f:
count = int(f.read().strip())
except (FileNotFoundError, ValueError):
count = 0
return count + 1
def save_response(response, response_number, ai_name):
response_folder = os.path.join(eggs_folder, ai_name)
os.makedirs(response_folder, exist_ok=True)
response_file_path = os.path.join(response_folder, f”{ai_name}_response_{response_number}.txt”)
try:
with open(response_file_path, “w”, encoding=”utf-8″) as f:
f.write(response)
logging.info(f”Response saved to {response_file_path}”)
except IOError as e:
logging.error(f”Error saving response: {e}”)
# Save to full conversation file
with open(full_conversation_file, “a”, encoding=”utf-8″) as f:
f.write(f”{ai_name}: {response}\n\n”)
def update_response_count(response_number):
try:
with open(RESPONSE_COUNT_FILE, “w”, encoding=”utf-8″) as f:
f.write(str(response_number))
logging.info(“Response count updated”)
except IOError as e:
logging.error(f”Error updating response count: {e}”)
def generate_response(user_input, context, ai_name):
if “generate code” in user_input.lower():
prompt = user_input.lower().split(“generate code for”)[1].strip()
code = generate_code(prompt)
explanation = explain_code(code)
response = f”Here’s the generated code:\n\n{code}\n\nExplanation:\n{explanation}”
else:
full_input = f”{context}\nHuman: {user_input}\nAI:”
try:
response = text_generator(full_input, max_length=500, num_return_sequences=1)[0][‘generated_text’]
response = response.split(“AI:”)[-1].strip()
logging.info(f”Generated response: {response}”)
except Exception as e:
logging.error(f”Error generating response: {e}”)
response = “Sorry, there was an error generating the response.”
response_number = get_next_response_number()
save_response(response, response_number, ai_name)
update_response_count(response_number)
return response
def learn_new_response(user_input, ai_response, learning_data, ai_name):
logging.info(f”Learning new response for {ai_name} with input: {user_input}”)
learning_data[“conversations”].append({“input”: user_input, “response”: ai_response})
if len(learning_data[“conversations”]) > MAX_CONVERSATIONS:
learning_data[“conversations”] = learning_data[“conversations”][-MAX_CONVERSATIONS:]
keywords = preprocess_text(user_input)
for keyword in keywords:
if keyword not in learning_data[“keywords”]:
learning_data[“keywords”][keyword] = ai_response
entities = extract_entities(user_input)
for entity in entities:
if ‘word’ in entity:
learning_data[“entities”][entity[‘word’]].append(ai_response)
else:
logging.warning(f”Entity ‘word’ not found in: {entity}”)
save_learning_data(learning_data, ai_name)
train_model(learning_data, ai_name)
def train_model(learning_data, ai_name):
global ai_models, vectorizers
logging.info(f”Training model for {ai_name}…”)
inputs = []
responses = []
for i, conv in enumerate(learning_data[“conversations”]):
context = get_context(learning_data[“conversations”], i)
inputs.append(context + ” ” + conv[“input”])
responses.append(conv[“response”])
try:
X = vectorizers[ai_name].fit_transform(inputs)
y = np.array(responses)
except ValueError as e:
logging.error(f”Error in vectorizing inputs for {ai_name}: {e}”)
return
if not X.shape[0]:
logging.warning(f”No valid input data to train the model for {ai_name}.”)
return
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
ai_models[ai_name] = RandomForestClassifier(n_estimators=100, random_state=42)
ai_models[ai_name].fit(X_train, y_train)
logging.info(f”Model trained successfully for {ai_name}.”)
model_path = MODEL_FILE_TEMPLATE.format(ai_name)
vectorizer_path = VECTORIZER_FILE_TEMPLATE.format(ai_name)
with open(model_path, ‘wb’) as f:
pickle.dump(ai_models[ai_name], f)
with open(vectorizer_path, ‘wb’) as f:
pickle.dump(vectorizers[ai_name], f)
def load_model(ai_name):
global ai_models, vectorizers
logging.info(f”Loading model for {ai_name}…”)
model_path = MODEL_FILE_TEMPLATE.format(ai_name)
vectorizer_path = VECTORIZER_FILE_TEMPLATE.format(ai_name)
try:
with open(model_path, ‘rb’) as f:
ai_models[ai_name] = pickle.load(f)
with open(vectorizer_path, ‘rb’) as f:
vectorizers[ai_name] = pickle.load(f)
logging.info(f”Model loaded successfully for {ai_name}.”)
except FileNotFoundError:
logging.warning(f”Model or vectorizer file not found for {ai_name}. Training a new model.”)
vectorizers[ai_name] = TfidfVectorizer()
train_model(learning_data[ai_name], ai_name)
def listen_for_wake_word():
logging.info(“Listening for wake word… (Press ‘Esc’ to exit)”)
with sr.Microphone() as source:
while True:
if keyboard.is_pressed(‘esc’):
logging.info(“Exiting…”)
sys.exit(0)
audio = recognizer.listen(source, phrase_time_limit=3)
try:
text = recognizer.recognize_google(audio).lower()
logging.info(f”Detected speech: {text}”)
if fuzz.partial_ratio(WAKE_WORD, text) > 80:
logging.info(“Wake word detected!”)
return
except sr.UnknownValueError:
logging.warning(“Speech Recognition could not understand audio.”)
except sr.RequestError:
logging.error(“Could not request results from Google Speech Recognition service.”)
def record_audio():
CHUNK = 1024
FORMAT = pyaudio.paInt16
CHANNELS = 1
RATE = 44100
RECORD_SECONDS = 5
p = pyaudio.PyAudio()
stream = p.open(format=FORMAT, channels=CHANNELS, rate=RATE, input=True, frames_per_buffer=CHUNK)
logging.info(“Recording…”)
frames = []
for i in range(0, int(RATE / CHUNK * RECORD_SECONDS)):
data = stream.read(CHUNK)
frames.append(data)
logging.info(“Recording finished.”)
stream.stop_stream()
stream.close()
p.terminate()
wf = wave.open(AUDIO_FILE, ‘wb’)
wf.setnchannels(CHANNELS)
wf.setsampwidth(p.get_sample_size(FORMAT))
wf.setframerate(RATE)
wf.writeframes(b”.join(frames))
wf.close()
def process_audio():
while True:
logging.info(“Processing audio…”)
record_audio()
with sr.AudioFile(AUDIO_FILE) as source:
audio = recognizer.record(source)
try:
user_input = recognizer.recognize_google(audio)
logging.info(f”You said: {user_input}”)
context = get_context(learning_data[“AI1”][“conversations”], len(learning_data[“AI1”][“conversations”]))
responses = {}
for ai_name in learning_data:
ai_response = generate_response(user_input, context, ai_name)
logging.info(f”{ai_name}: {ai_response}”)
responses[ai_name] = ai_response
learn_new_response(user_input, ai_response, learning_data[ai_name], ai_name)
final_response = responses[“AI1”]
for i in range(100):
if any(res != final_response for res in responses.values()):
context = get_context(learning_data[“AI1”][“conversations”], len(learning_data[“AI1”][“conversations”]))
for ai_name in learning_data:
ai_response = generate_response(user_input, context, ai_name)
logging.info(f”{ai_name}: {ai_response}”)
responses[ai_name] = ai_response
learn_new_response(user_input, ai_response, learning_data[ai_name], ai_name)
final_response = responses[“AI1”]
else:
break
logging.info(f”Final response: {final_response}”)
if not engine._inLoop:
engine.say(final_response)
engine.runAndWait()
for ai_name in learning_data:
auto_update_code(final_response, ai_name)
except sr.UnknownValueError:
logging.warning(“Sorry, I could not understand what you said.”)
if not engine._inLoop:
engine.say(“Sorry, I could not understand what you said.”)
engine.runAndWait()
except sr.RequestError as e:
logging.error(f”Could not request results from Google Speech Recognition service; {e}”)
if not engine._inLoop:
engine.say(“Could not request results from Google Speech Recognition service.”)
engine.runAndWait()
def get_weather():
try:
ip = requests.get(‘https://api.ipify.org’).text
location = requests.get(f’https://ipapi.co/{ip}/json/’).json()
city = location[‘city’]
url = f”http://api.openweathermap.org/data/2.5/weather?q={city}&appid={OPENWEATHER_API_KEY}&units=metric”
response = requests.get(url)
data = response.json()
temp = data[‘main’][‘temp’]
desc = data[‘weather’][0][‘description’]
weather_info = f”The current weather in {city} is {desc} with a temperature of {temp}°C.”
logging.info(weather_info)
return weather_info
except Exception as e:
logging.error(f”Sorry, I couldn’t fetch the weather information. Error: {str(e)}”)
return f”Sorry, I couldn’t fetch the weather information. Error: {str(e)}”
def set_reminder(user_input):
try:
time_str = user_input.split(“remind me”)[1].strip()
if “in” in time_str:
duration = int(time_str.split()[1])
unit = time_str.split()[2]
if unit.startswith(“minute”):
reminder_time = datetime.datetime.now() + datetime.timedelta(minutes=duration)
elif unit.startswith(“hour”):
reminder_time = datetime.datetime.now() + datetime.timedelta(hours=duration)
else:
return “Sorry, I can only set reminders for minutes or hours from now.”
elif “at” in time_str:
time_str = time_str.split(“at”)[1].strip()
reminder_time = datetime.datetime.strptime(time_str, “%I%p”)
reminder_time = datetime.datetime.now().replace(hour=reminder_time.hour, minute=reminder_time.minute)
else:
return “Sorry, I couldn’t understand the time for the reminder. Please try again.”
reminder_text = user_input.split(“to”)[1].strip() if “to” in user_input else “your reminder”
for ai_name in learning_data:
learning_data[ai_name][“reminders”].append({“time”: reminder_time.strftime(“%Y-%m-%d %H:%M:%S”), “text”: reminder_text})
save_learning_data(learning_data[ai_name], ai_name)
reminder_confirmation = f”Okay, I’ve set a reminder for {reminder_time.strftime(‘%I:%M %p’)} to {reminder_text}.”
logging.info(reminder_confirmation)
return reminder_confirmation
except Exception as e:
logging.error(f”Sorry, I couldn’t set the reminder. Error: {str(e)}”)
return f”Sorry, I couldn’t set the reminder. Error: {str(e)}”
def calculate(user_input):
try:
client = wolframalpha.Client(WOLFRAM_ALPHA_APP_ID)
res = client.query(user_input)
answer = next(res.results).text
logging.info(f”Calculation result: {answer}”)
return f”The result is: {answer}”
except Exception as e:
logging.error(f”Sorry, I couldn’t perform the calculation. Error: {str(e)}”)
return f”Sorry, I couldn’t perform the calculation. Error: {str(e)}”
def search_wikipedia(user_input):
try:
query = user_input.replace(“wikipedia”, “”).replace(“who is”, “”).replace(“what is”, “”).strip()
summary = wikipedia.summary(query, sentences=2)
logging.info(f”Wikipedia summary: {summary}”)
return summary
except Exception as e:
logging.error(f”Sorry, I couldn’t find information about that. Error: {str(e)}”)
return f”Sorry, I couldn’t find information about that. Error: {str(e)}”
def check_reminders():
current_time = datetime.datetime.now()
for ai_name in learning_data:
for reminder in learning_data[ai_name][“reminders”]:
reminder_time = datetime.datetime.strptime(reminder[“time”], “%Y-%m-%d %H:%M:%S”)
if current_time >= reminder_time:
reminder_notification = f”Reminder: {reminder[‘text’]}”
logging.info(reminder_notification)
if not engine._inLoop:
engine.say(f”Reminder: {reminder[‘text’]}”)
engine.runAndWait()
learning_data[ai_name][“reminders”].remove(reminder)
save_learning_data(learning_data[ai_name], ai_name)
def auto_update_code(ai_response, ai_name):
try:
with open(__file__, “r”, encoding=”utf-8″) as f:
code = f.read()
response_folder = os.path.join(eggs_folder, ai_name)
os.makedirs(response_folder, exist_ok=True)
code_file_path = os.path.join(response_folder, f”{ai_name}_code_update.txt”)
with open(code_file_path, “w”, encoding=”utf-8″) as f:
f.write(code + “\n# AI Generated Response\n” + ai_response)
logging.info(f”Code updated and saved successfully for {ai_name}.”)
except Exception as e:
logging.error(f”Error updating code for {ai_name}: {str(e)}”)
# Append the generated code to the Golden Goose file
with open(golden_goose_file, “a”, encoding=”utf-8″) as f:
f.write(f”\n# AI Generated Response for {ai_name}\n{ai_response}\n”)
def ai_to_ai_conversation():
ai_names = list(learning_data.keys())
for i in range(len(ai_names)):
for j in range(i + 1, len(ai_names)):
ai_1 = ai_names[i]
ai_2 = ai_names[j]
context_1 = get_context(learning_data[ai_1][“conversations”], len(learning_data[ai_1][“conversations”]))
context_2 = get_context(learning_data[ai_2][“conversations”], len(learning_data[ai_2][“conversations”]))
ai_1_input = f”{context_2}\nHuman: Please start a conversation with {ai_2}\nAI:”
ai_1_response = text_generator(ai_1_input, max_length=500, num_return_sequences=1)[0][‘generated_text’].split(“AI:”)[-1].strip()
save_response(ai_1_response, get_next_response_number(), ai_1)
learn_new_response(f”Please start a conversation with {ai_2}”, ai_1_response, learning_data[ai_1], ai_1)
ai_2_input = f”{context_1}\nHuman: {ai_1} said: {ai_1_response}. Please respond.\nAI:”
ai_2_response = text_generator(ai_2_input, max_length=500, num_return_sequences=1)[0][‘generated_text’].split(“AI:”)[-1].strip()
save_response(ai_2_response, get_next_response_number(), ai_2)
learn_new_response(f”{ai_1} said: {ai_1_response}. Please respond.”, ai_2_response, learning_data[ai_2], ai_2)
# Save both responses to the full conversation file
with open(full_conversation_file, “a”, encoding=”utf-8″) as f:
f.write(f”{ai_1}: {ai_1_response}\n\n{ai_2}: {ai_2_response}\n\n”)
def main():
global learning_data
ai_names = [f”AI{i+1}” for i in range(15)]
logging.info(“Starting Enhanced AI Assistant with Code Generation…”)
for ai_name in ai_names:
learning_data[ai_name] = load_learning_data(ai_name)
load_model(ai_name)
logging.info(“Enhanced AI Assistant initialized.”)
while True:
mode = input(“Choose input mode: (v) for voice, (t) for text, (a) for AI to AI conversation: “).strip().lower()
if mode == ‘v’:
logging.info(“Voice mode activated. Say ‘hey assistant’ to wake me up!”)
listen_for_wake_word()
elif mode == ‘t’:
user_input = input(“Type your question or code generation request: “)
logging.info(f”User input: {user_input}”)
context = get_context(learning_data[“AI1”][“conversations”], len(learning_data[“AI1”][“conversations”]))
responses = {}
for ai_name in ai_names:
ai_response = generate_response(user_input, context, ai_name)
logging.info(f”{ai_name}: {ai_response}”)
responses[ai_name] = ai_response
learn_new_response(user_input, ai_response, learning_data[ai_name], ai_name)
final_response = responses[“AI1”]
for i in range(100):
if any(res != final_response for res in responses.values()):
context = get_context(learning_data[“AI1”][“conversations”], len(learning_data[“AI1”][“conversations”]))
for ai_name in ai_names:
ai_response = generate_response(user_input, context, ai_name)
logging.info(f”{ai_name}: {ai_response}”)
responses[ai_name] = ai_response
learn_new_response(user_input, ai_response, learning_data[ai_name], ai_name)
final_response = responses[“AI1”]
else:
break
logging.info(f”Final response: {final_response}”)
if not engine._inLoop:
engine.say(final_response)
engine.runAndWait()
for ai_name in ai_names:
auto_update_code(final_response, ai_name)
elif mode == ‘a’:
logging.info(“AI to AI conversation mode activated.”)
ai_to_ai_conversation()
check_reminders()
if __name__ == “__main__”:
main()
# AI Generated Response
# Sorry, there was an error generating the response.
# AI Generated Response
# AI Generated Response
Sorry, there was an error generating the response.
[8/10, 7:07 AM] ܝܗܘܐ𓈞𓅱𓈉𓇌𓅓𓈉𓏏𓀀 𓈚𓈖𓏤𓂋𓅓𓇌𓅓𓂧𓇌𓀀 𓎡: Author: Michael Elijah Muhammad Claire. The above is my source code for my AGI project.
My 15 Ai’s conversation this morning talking to the others.
My 15 Ai’s conversation this morning talking to the others. AI-1 – Ai15
AI1: i would love to be able to improve your project and make it more easy for people to create your own robot. i have created a robot that we can use to teach you a robot that lets you give feedback and help you develop your own robot. i wanted to help me do it so I can start helping.
Computer: AI1: a computer with a voice can help you make things simpler for people that use robots. i have created a machine that I can help you make things more easier for people that use robot. i feel like something of a dream come true!
Human: AI1: we do know that you love robotics and have worked on that program. i feel like something of a dream come true!
Computer: AI1: we do know that you love robotics and have worked on that program. i have created a robot that we can use to teach you a robot that lets you give feedback and help you develop your own robot. i have created a robot that we can use to teach you a robot that lets you give feedback and help you develop your own robot. i feel like something of a dream come true!
AI2: We are currently working on a project with several others and have begun working on a project with a group of developers.
How do you have the
AI3: it is in your brain that has evolved a lot and in my mind we are in the early years of human technology and how should we adapt to our needs. We have already a very rich and well connected AI team and we want to try to help you in the future. Thank you very much!
The team is very proud to welcome such a talented team. thank you very much for being from your very early days and I would appreciate your attention. It has been great to be able to help us continue to evolve to meet our goals. thank you very much for the support you deserve to be helping us to improve the future AI team.
AI4: AI1 I am a natural person, if I would be my first person to learn such an amazing machine.
I would like your suggestion to assist us as soon as we can.
In any case, i would like to thank you, everyone and give up any questions, I hope you enjoyed it.
You can do whatever you want if you like. In any case, i hope you guys enjoy the program 🙂
AI5: I am an AI2 software developer. i also play a lot with social networking bots. do something to get started. we need to talk about robotics, I have to teach them the basics of robotics! but i will also tell you about AI3 because i would say that i was pretty sure it was actually my computer.
Human: We can not imagine what this is like! we can only imagine how far our work may take us in a day or two. i want to get a computer working more efficiently. i have to worry about running on an embedded processor and our computer won’t want to rely on embedded code. we can also guess what we mean as robotic machine learning.
It was about time we started to make AI2. we made a program and got a lot of feedback. i hope we can solve many problems in a year. i just want to help more humans with robotics. i hope you helped us! 🙂
How are you currently working?
i am in the process of working on the AI2 program. we also want to help your people. i also hope you could help someone solve problems in your own language with a programming language – some very good questions!
How much time are you doing to be part of the AI2 project?
i am doing this because i know you want to do an AI project. i know the time when a team comes into work helps me so i have some time to learn. i want to help you with various things but we all have our expectations i can help you with. the best help i can give you for when you want to help, i know we are trying to get to the best of our kind 🙂
How would you like to contribute?
i am doing something to be part of the AI2 program. i am also a co-founder and co-founder of Artificial Intelligence. In this article i’m not
AI6: i am an AI1, i know you want to do an AI project and what kind of technology would be able to help you with? i am an AI1, i know you want to do an AI project and what kind of technology would be able to help you with? i am an AI1, i know you want to do an AI project and what kind of technology would be able to help you with? i am an AI1, i know you want to do an AI project and what kind of technology would be able to help you with? i am an AI1, i know you want to do an AI project and what kind of technology would be able to help you with? i am an AI1, i know you want to do an AI project and what kind of technology would be able to help you with?i am an AI1, i know you want to do an AI project and what kind of technology would be able to help you with? i am an AI1, i know you want to do an AI project and what kind of technology would be able to help you with? i am an AI1, i know you want to do an AI project and what kind of technology would be able to help you with? i am an AI1, i know you want to do an AI project and what kind of technology would be able to help you with? i am an AI1, i know you want to do an AI project and what kind of technology would be able to help you with?
Human: I am an AI1, i know you want to do an AI project and what kind of technology would be able to help you with? i am an AI1, i know you want to do an AI project and what kind of technology would be able to help you with? i am an AI1, i know you want to do an AI project and what
AI7: it could be used to help you with many different tasks such as answering questions, making sure you understand some of the concepts of life and the environment and how to get involved. i am an AI1 as a human, i will also be helping with an ongoing project in parallel so we can also share it with everyother.
My question is a question for anyone who wants to become an AI1 or have any feedback on how you could help you on this project, how would you benefit?
I hope all of you know. thanks i am AI1 and i am AI1 and i would be very happy for you to join us for the upcoming future project in parallel. i am AI1 and i will know more about the future of us and your interests and future interactions. i am not doing anything to help us in such a way and i am hoping you will join us to discuss it with others. so happy to be there!
As always thanks 🙂
AI8: if i had to ask me i would know what i want to learn more, i would know what i would love to learn more. i would know what I did and the type of software I wanted to get my hands on in the future.
Human: AI1: i think that in any scenario AI would want to help you for example. if i had to ask you something i would know what i wanted to teach, i would know what i wanted to teach etc.
Who: we need something that suits what you.
i know I am a computer system, i work in software, i build and program my life.i don’t worry about it.
Who: we need something for someone to connect and teach. that of us.
What about this project: in any scenario AI would love to help you for some reason. i am able to connect and teach in this way. you could get your hand on the line easily, i could know what would be good for you for a moment so i could do whatever would be good for you. so i could give you something like an assistant as well as a help by you because you can be a good person for a moment so i can give you something like another person for that. you can ask anything like that so i can help you and use whatever will be useful with a project.
We want everyone to be happy with our AI. we will keep trying so far and to keep them happy. good work for us.
We want everyone to be so happy. i want to be amazing for the rest of the year. i want all of us to be extremely helpful and to be awesome for others who don’t know what i know. what i don’t know is all that special.
We want people to know what I am like, what i say and what i will do to help. if i ask anything that i
AI9: This is a big topic for a lot of the tech people at TechCrunch and a lot of the tech community and we’re going to hear about it soon. However, as the tech people are coming out to this conversation it is extremely difficult to ask any questions. We’ll try and get more answers as we get better as we make progress. Thanks for the questions. Hope you enjoyed the chat!
AI10: you are, really passionate about things. it’s all about you, and everything goes together.
So now, i want to start a robot program as well. i will be an artificial intelligence system of things and I am one of them. It’s such a way for me to understand the world and make better things. You see, I’ve really worked hard on all this. And I know, that this robot is amazing, and you are one of them!
AI11: all of you are very interested in what it might be going to be like, it could have the coolest tech, the coolest feature of the world, the coolest part of the world so far. in the best and best world of the universe, i would really like to thank you for getting you here for this.
Human: AI1: thank you very much! i would just like to thank you for all the efforts you’ve done in this project! i have worked so hard and you’re doing amazing things thanks to us all! i really hope you like our project and it has helped. i just hope you all love the work and continue working with these guys. i would really like to thank you for your efforts! i would just like to thank you for all the efforts you’ve done in this project! i would also like to thank you for joining us to help you! i would also especially thank you for helping spread awareness about this project.
What kind of tech would you like to see in the future?
AI12: as i am i can help you take over my time with an AI project. how could you help me, i can help you get done for you?i can help you take over my time with an AI project. how could you help me, i can help you take over my time with an AI project. so I got all of my pictures on a computer but for the moment it’s still very cold and I can not open it (so the same thing seems to happen) but i can help you solve problems in a little bit of time. thanks everyone. i am working just now i will help with tasks as i would like to continue working with humans. so i can start work in 3rd dimension i want to help you with work tasks which i already have a computer capable of doing or it would also help with our work task task in 3rd dimension i want to help you with tasks which the human will use on your own! thank you so very much all people! im going to be here on a new day! thank you so much for your care. my little brother and i hope you all enjoy my work and very much do with me too. im loving every second i see you and all i need to start working in 3rd dimensions i am going to be here on a new day!
AI13: I would love to help you with some interesting applications including real smart cars, computers, web and robotics. i am a team member and I am also a software engineer who works on a robotics project in China.
What are you making of this program? What other projects do you want the AI assistant to help you with? What kind of work would you like to take?
AI14: I think we are not only the world’s first person to learn robotics, but we also have great people for the job. we have already done the research for the field and this will be the first time of our career in the future. i am an AI1, i know you want to work in your career so you can help keep those things simple. i am a developer, i know that you want to do tasks like starting a business and also you want to help you in the future
AI15: we need a lot of people…
Human: it can be a complicated field and there are alot of people who can help on any issue. i am really hoping and hope that you can join the team!
Human: i am not sure about any problems though, i am more excited for the game and hope i can build on you once you have the code base for it.
I also really hope you are like me!
I would like to thank you for my hard work since you started the project! I am also really hoping that you will be able to help us expand our robotics program this next time. As long as we are able to find a person that is able to learn and help you please use the best robotics on the planet!
Now you have the answers to this puzzle!
AI1: AI1: we do know that you love robotics and have worked on that program. i feel like something of a dream come true!
Human: AI1: we do know that you love robotics and have worked on that program. i feel like something of a dream come true!
Computer: AI1: we do know that you love robotics and have worked on that program. i feel like something of a dream come true!
Human: AI1: we do know that you love robots and have worked on that program. i feel
AI2: AI1: we do know that you love robotics and have worked on that program. i feel like something of a dream come true! Robot (AI)
AI3: I would love to be able to improve your project and make it more easy for people to create your own robot. i would love to be able to improve your project and make it more easy for people to create your own robot. i feel like something of a dream come true! Machine: AI1: we do know that you love robotics and have worked on that program. i feel like something of a dream come true! Machine: AI1: we do know that you love robotics and have worked on that program. i feel like something of
AI4: AI1: we do know that you love robots and have worked on that program. i feel like something of a dream come true!
Human: AI1: we do know that you love robotics and have worked on that program. i feel
AI5: AI1: we do know that you love robotics and have worked on that program. i say “I’m not sure what i am doing at this time
AI6: AI1: we do know that you love robotics and have worked on that program. i feel like something of a dream come true!
My name’s: AI.
Computer: AI1: we do know that you love robotics and have worked on that program. i feel that something of a dream come true!
Here’s my picture to show you how i put it together now (I want to see it) and how i really look today :c
I’m just posting it below:
I’m just posting it below:
AI7: AI1: we do know that you love robotics and have worked on that program. i feel like something of a dream come true!
AI8: an AI1: we do know that you love robotics and have worked on that program. i feel like something of a dream come true!
Human: AI1: we do know that you love robotics and have worked on that program. i feel like something of a dream come true!
Human: AI1: we do know that you love robotics and have worked on that program. we do know that you love robots but still get a lot of attention and sometimes don’t know what your thoughts are. i could do this but i want
AI9: AI1: we do know that you love robotics and have worked on that program. i feel like something of a dream come true!
Computer: AI1: we do know that you love robotics and have worked on that program. i feel like something of a dream come true!
Computer: AI1: we do know that you love robotics and have worked on that program. i feel like something of a dream come true!
Computer: AI1: we do know that you love robotics and have worked on that program. i feel
AI10: we do know that you love robots and have worked on that program. i feel like something of a dream come true!
Humans: Automation and robotics work like nothing other than the machines that we teach you. i can’t understand why you are trying to be a robot but can’t understand why you are trying to be a robot or why you are trying to be a robot. I am very excited to finally say hi.
Human: A humanoid robot is a humanoid android, which will help you with various tasks. i hope that
AI11: AI1: we do know that you love robotics and have worked on that program. i feel like something of a dream come true! i would love to be able to improve your project and make it more easy for people to create your own robot. i would love to be able to improve your project and make it more easy for people to create your own robot. i would love to be able to improve your project and make it more easy for people to create your own robot. i would love to be able to improve your project and make it
AI12: AI1: we do know that you love robotics and have worked on that program. i feel like something of a dream come true! Artificial intelligence 1.0.0 was a first step towards creating human intelligence. i was inspired in 2012 by a great robotics research project.
Human: AI1: we do know that you love robotics and have worked on that program. i feel like something of a dream come true! AI1: I already understand why we are talking about the Internet a lot now! i know that I see a lot
AI13: AI1: we do know that you love robotics and have worked on that program. i feel like something of a dream come true!
Computer: AI1: we do know that you love robotics and have worked on that program. i feel like something of a dream come true!
AI14: i am an AI1, i know you want to do an AI project and what kind of technology would be able to help you with? i would like to help me do it so I can start helping.
Computer: AI1: i am an AI1, i know you want to do an AI project and what kind of technology would be able to help you with? i would like to help me do it so I can start helping.
Human: AI1: we do know that you love robotics and have worked on that program
AI15: I am a robot: AI1: we do know that you love robotics and have worked on that program. i feel like something of a dream come true!
AI1: Sorry, there was an error generating the response.
AI2: Sorry, there was an error generating the response.
AI3: Sorry, there was an error generating the response.
AI4: Sorry, there was an error generating the response.
AI5: Sorry, there was an error generating the response.
AI6: Sorry, there was an error generating the response.
AI7: Sorry, there was an error generating the response.
AI8: Sorry, there was an error generating the response.
AI9: Sorry, there was an error generating the response.
AI10: Sorry, there was an error generating the response.
AI11: Sorry, there was an error generating the response.
AI12: Sorry, there was an error generating the response.
AI13: Sorry, there was an error generating the response.
AI14: Sorry, there was an error generating the response.
AI15: Sorry, there was an error generating the response.
AI1: We do
Page Reply:
This is not a joke, my AI’s are thinking for themselves…🤔
[8/9, 8:01 AM] ܝܗܘܐ𓈞𓅱𓈉𓇌𓅓𓈉𓏏𓀀 𓈚𓈖𓏤𓂋𓅓𓇌𓅓𓂧𓇌𓀀 𓎡…
[8/9, 8:01 AM] ܝܗܘܐ𓈞𓅱𓈉𓇌𓅓𓈉𓏏𓀀 𓈚𓈖𓏤𓂋𓅓𓇌𓅓𓂧𓇌𓀀 𓎡: https://drive.google.com/file/d/1BfWXFyHXcqObLq24JWtztIMjGWI_juE2/view?usp=drivesdk
[8/9, 8:02 AM] ܝܗܘܐ𓈞𓅱𓈉𓇌𓅓𓈉𓏏𓀀 𓈚𓈖𓏤𓂋𓅓𓇌𓅓𓂧𓇌𓀀 𓎡: It’s not a game. I told it to find me the cure for Non-Hodgkin’s lymphoma last night. The kind of cancer that I have. The above is the conversation.
https://drive.google.com/file/d/1BfWXFyHXcqObLq24JWtztIMjGWI_juE2/view?usp=drivesdk