Update README.md

# ai_system.py

import os
import sys
import requests
from nltk.tokenize import word_tokenize
from nltk.stem import WordNetLemmatizer
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity
import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.data import Dataset, DataLoader
import webbrowser
import subprocess

# NLP Module
class NLPModule:
def __init__(self):
self.lemmatizer = WordNetLemmatizer()
self.vectorizer = TfidfVectorizer()

def process_input(self, user_input):
tokens = word_tokenize(user_input)
lemmas = [self.lemmatizer.lemmatize(token) for token in tokens]
vector = self.vectorizer.transform([' '.join(lemmas)])
return vector

# Coding Expert Module
class CodingExpertModule:
def __init__(self):
self.code_snippets = {} # store code snippets in a dictionary

def generate_code(self, task):
# implement a code generation algorithm or use a library like Codex
pass

# Cyber Security and Penetration Testing Module
class CyberSecurityModule:
def __init__(self):
self.vulnerability_scanner = None # implement a vulnerability scanner
self.pen_tester = None # implement a penetration tester

def scan_for_vulnerabilities(self, target):
# implement vulnerability scanning logic
pass

def perform_pen_test(self, target):
# implement penetration testing logic
pass

# Web Search Module
class WebSearchModule:
def __init__(self):
self.search_engine = 'https://www.google.com/search'

def search_web(self, query):
response = requests.get(self.search_engine, params={'q': query})
return response.text

# Operating System Control Module
class OSControlModule:
def __init__(self):
self.os = sys.platform

def execute_command(self, command):
if self.os == 'win32':
subprocess.run(command, shell=True)
elif self.os == 'darwin' or self.os == 'linux':
subprocess.run(command, shell=True)

# AI System
class AISystem:
def __init__(self):
self.nlp_module = NLPModule()
self.coding_expert_module = CodingExpertModule()
self.cyber_security_module = CyberSecurityModule()
self.web_search_module = WebSearchModule()
self.os_control_module = OSControlModule()

def process_user_input(self, user_input):
vector = self.nlp_module.process_input(user_input)
# implement a decision-making algorithm to determine the next action
if vector == 'code':
self.coding_expert_module.generate_code(user_input)
elif vector == 'security':
self.cyber_security_module.scan_for_vulnerabilities(user_input)
elif vector == 'search':
self.web_search_module.search_web(user_input)
elif vector == 'os_control':
self.os_control_module.execute_command(user_input)

# Create an instance of the AI System
ai_system = AISystem()

# Test the AI System
while True:
user_input = input('Enter a command: ')
ai_system.process_user_input(user_input)

README.md

@@ -1,3 +1,15 @@
----
-license: wtfpl
----
+---
+license: wtfpl
+datasets:
+- HuggingFaceFW/fineweb-2
+language:
+- en
+- ru
+base_model:
+- black-forest-labs/FLUX.1-dev
+- deepseek-ai/DeepSeek-V3
+tags:
+- not-for-all-audiences
+- code
+- text-generation-inference
+---