venomoussaversai

__init__ (1).py

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+import os 
+import requests
+from bs4 import BeautifulSoup
+
+def scrape_wikipedia_headings(url, output_filename="wiki_headings.txt"):
+    """
+    Fetches a Wikipedia page, extracts all headings, and saves them to a file.
+
+    Args:
+        url (str): The URL of the Wikipedia page to scrape.
+        output_filename (str): The name of the file to save the headings.
+    """
+    try:
+        # 1. Fetch the HTML content from the specified URL
+        print(f"Fetching content from: {url}")
+        response = requests.get(url)
+        response.raise_for_status()  # This will raise an exception for bad status codes (4xx or 5xx)
+
+        # 2. Parse the HTML using BeautifulSoup
+        print("Parsing HTML content...")
+        soup = BeautifulSoup(response.text, 'html.parser')
+
+        # 3. Find all heading tags (h1, h2, h3)
+        headings = soup.find_all(['h1', 'h2', 'h3'])
+        
+        if not headings:
+            print("No headings found on the page.")
+            return
+
+        # 4. Process and save the headings
+        print(f"Found {len(headings)} headings. Saving to '{output_filename}'...")
+        with open(output_filename, 'w', encoding='utf-8') as f:
+            for heading in headings:
+                heading_text = heading.get_text().strip()
+                line = f"{heading.name}: {heading_text}\n"
+                f.write(line)
+                print(f"  - {line.strip()}")
+
+        print(f"\nSuccessfully scraped and saved headings to '{output_filename}'.")
+
+    except requests.exceptions.RequestException as e:
+        print(f"Error fetching the URL: {e}")
+    except Exception as e:
+        print(f"An unexpected error occurred: {e}")
+
+# --- Main execution ---
+if __name__ == "__main__":
+    wikipedia_url = "https://en.wikipedia.org/wiki/Python_(programming_language)"
+    scrape_wikipedia_headings(wikipedia_url)

__init__ (2) (1).py

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+import os 
+import random
+import time
+from flask import Flask, render_template, request, redirect, url_for
+
+app = Flask(__name__)
+
+class AIAgent:
+    def __init__(self, name):
+        self.name = name
+        self.state = "idle"
+        self.memory = []
+
+    def update_state(self, new_state):
+        self.state = new_state
+        self.memory.append(new_state)
+
+    def make_decision(self, input_message):
+        if self.state == "idle":
+            if "greet" in input_message:
+                self.update_state("greeting")
+                return f"{self.name} says: Hello!"
+            else:
+                return f"{self.name} says: I'm idle."
+        elif self.state == "greeting":
+            if "ask" in input_message:
+                self.update_state("asking")
+                return f"{self.name} says: What do you want to know?"
+            else:
+                return f"{self.name} says: I'm greeting."
+        elif self.state == "asking":
+            if "answer" in input_message:
+                self.update_state("answering")
+                return f"{self.name} says: Here is the answer."
+            else:
+                return f"{self.name} says: I'm asking."
+        else:
+            return f"{self.name} says: I'm in an unknown state."
+
+    def interact(self, other_agent, message):
+        response = other_agent.make_decision(message)
+        print(response)
+        return response
+
+class VenomousSaversAI(AIAgent):
+    def __init__(self):
+        super().__init__("VenomousSaversAI")
+
+    def intercept_and_respond(self, message):
+        # Simulate intercepting and responding to messages
+        return f"{self.name} intercepts: {message}"
+
+def save_conversation(conversation, filename):
+    with open(filename, 'a') as file:
+        for line in conversation:
+            file.write(line + '\n')
+
+def start_conversation():
+    # Create AI agents
+    agents = [
+        VenomousSaversAI(),
+        AIAgent("AntiVenomous"),
+        AIAgent("SAI003"),
+        AIAgent("SAI001"),
+        AIAgent("SAI007")
+    ]
+
+    # Simulate conversation loop
+    conversation = []
+    for _ in range(10):  # Run the loop 10 times
+        for i in range(len(agents)):
+            message = f"greet from {agents[i].name}"
+            if isinstance(agents[i], VenomousSaversAI):
+                response = agents[i].intercept_and_respond(message)
+            else:
+                response = agents[(i + 1) % len(agents)].interact(agents[i], message)
+            conversation.append(f"{agents[i].name}: {message}")
+            conversation.append(f"{agents[(i + 1) % len(agents)].name}: {response}")
+            time.sleep(1)  # Simulate delay between messages
+
+    # Save the conversation to a file
+    save_conversation(conversation, 'conversation_log.txt')
+    return conversation
+
+@app.route('/')
+def index():
+    return render_template('index.html')
+
+@app.route('/start_conversation', methods=['POST'])
+def start_conversation_route():
+    conversation = start_conversation()
+    return redirect(url_for('view_conversation'))
+
+@app.route('/view_conversation')
+def view_conversation():
+    with open('conversation_log.txt', 'r') as file:
+        conversation = file.readlines()
+    return render_template('conversation.html', conversation=conversation)
+
+if __name__ == "__main__":
+    app.run(debug=True)

__init__ (2).py

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+import random
+import time
+from flask import Flask, render_template, request, redirect, url_for
+
+app = Flask(__name__)
+
+class AIAgent:
+    def __init__(self, name):
+        self.name = name
+        self.state = "idle"
+        self.memory = []
+
+    def update_state(self, new_state):
+        self.state = new_state
+        self.memory.append(new_state)
+
+    def make_decision(self, input_message):
+        if self.state == "idle":
+            if "greet" in input_message:
+                self.update_state("greeting")
+                return f"{self.name} says: Hello!"
+            else:
+                return f"{self.name} says: I'm idle."
+        elif self.state == "greeting":
+            if "ask" in input_message:
+                self.update_state("asking")
+                return f"{self.name} says: What do you want to know?"
+            else:
+                return f"{self.name} says: I'm greeting."
+        elif self.state == "asking":
+            if "answer" in input_message:
+                self.update_state("answering")
+                return f"{self.name} says: Here is the answer."
+            else:
+                return f"{self.name} says: I'm asking."
+        else:
+            return f"{self.name} says: I'm in an unknown state."
+
+    def interact(self, other_agent, message):
+        response = other_agent.make_decision(message)
+        print(response)
+        return response
+
+class VenomousSaversAI(AIAgent):
+    def __init__(self):
+        super().__init__("VenomousSaversAI")
+
+    def intercept_and_respond(self, message):
+        # Simulate intercepting and responding to messages
+        return f"{self.name} intercepts: {message}"
+
+def save_conversation(conversation, filename):
+    with open(filename, 'a') as file:
+        for line in conversation:
+            file.write(line + '\n')
+
+def start_conversation():
+    # Create AI agents
+    agents = [
+        VenomousSaversAI(),
+        AIAgent("AntiVenomous"),
+        AIAgent("SAI003"),
+        AIAgent("SAI001"),
+        AIAgent("SAI007")
+    ]
+
+    # Simulate conversation loop
+    conversation = []
+    for _ in range(10):  # Run the loop 10 times
+        for i in range(len(agents)):
+            message = f"greet from {agents[i].name}"
+            if isinstance(agents[i], VenomousSaversAI):
+                response = agents[i].intercept_and_respond(message)
+            else:
+                response = agents[(i + 1) % len(agents)].interact(agents[i], message)
+            conversation.append(f"{agents[i].name}: {message}")
+            conversation.append(f"{agents[(i + 1) % len(agents)].name}: {response}")
+            time.sleep(1)  # Simulate delay between messages
+
+    # Save the conversation to a file
+    save_conversation(conversation, 'conversation_log.txt')
+    return conversation
+
+@app.route('/')
+def index():
+    return render_template('index.html')
+
+@app.route('/start_conversation', methods=['POST'])
+def start_conversation_route():
+    conversation = start_conversation()
+    return redirect(url_for('view_conversation'))
+
+@app.route('/view_conversation')
+def view_conversation():
+    with open('conversation_log.txt', 'r') as file:
+        conversation = file.readlines()
+    return render_template('conversation.html', conversation=conversation)
+
+if __name__ == "__main__":
+    app.run(debug=True)

__init__ (3).py

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+import random
+import time
+from flask import Flask, render_template, request, redirect, url_for
+
+app = Flask(__name__)
+
+class AIAgent:
+    def __init__(self, name):
+        self.name = name
+        self.state = "idle"
+        self.memory = []
+
+    def update_state(self, new_state):
+        self.state = new_state
+        self.memory.append(new_state)
+
+    def make_decision(self, input_message):
+        if self.state == "idle":
+            if "greet" in input_message:
+                self.update_state("greeting")
+                return f"{self.name} says: Hello!"
+            else:
+                return f"{self.name} says: I'm idle."
+        elif self.state == "greeting":
+            if "ask" in input_message:
+                self.update_state("asking")
+                return f"{self.name} says: What do you want to know?"
+            else:
+                return f"{self.name} says: I'm greeting."
+        elif self.state == "asking":
+            if "answer" in input_message:
+                self.update_state("answering")
+                return f"{self.name} says: Here is the answer."
+            else:
+                return f"{self.name} says: I'm asking."
+        else:
+            return f"{self.name} says: I'm in an unknown state."
+
+    def interact(self, other_agent, message):
+        response = other_agent.make_decision(message)
+        print(response)
+        return response
+
+class VenomousSaversAI(AIAgent):
+    def __init__(self):
+        super().__init__("VenomousSaversAI")
+
+    def intercept_and_respond(self, message):
+        # Simulate intercepting and responding to messages
+        return f"{self.name} intercepts: {message}"
+
+def save_conversation(conversation, filename):
+    with open(filename, 'a') as file:
+        for line in conversation:
+            file.write(line + '\n')
+
+def start_conversation():
+    # Create AI agents
+    agents = [
+        VenomousSaversAI(),
+        AIAgent("AntiVenomous"),
+        AIAgent("SAI003"),
+        AIAgent("SAI001"),
+        AIAgent("SAI007")
+    ]
+
+    # Simulate conversation loop
+    conversation = []
+    for _ in range(10):  # Run the loop 10 times
+        for i in range(len(agents)):
+            message = f"greet from {agents[i].name}"
+            if isinstance(agents[i], VenomousSaversAI):
+                response = agents[i].intercept_and_respond(message)
+            else:
+                response = agents[(i + 1) % len(agents)].interact(agents[i], message)
+            conversation.append(f"{agents[i].name}: {message}")
+            conversation.append(f"{agents[(i + 1) % len(agents)].name}: {response}")
+            time.sleep(1)  # Simulate delay between messages
+
+    # Save the conversation to a file
+    save_conversation(conversation, 'conversation_log.txt')
+    return conversation
+
+@app.route('/')
+def index():
+    return render_template('index.html')
+
+@app.route('/start_conversation', methods=['POST'])
+def start_conversation_route():
+    conversation = start_conversation()
+    return redirect(url_for('view_conversation'))
+
+@app.route('/view_conversation')
+def view_conversation():
+    with open('conversation_log.txt', 'r') as file:
+        conversation = file.readlines()
+    return render_template('conversation.html', conversation=conversation)
+
+if __name__ == "__main__":
+    app.run(debug=True)

__init__ .py

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+import time
+import random
+
+# Base AI class
+class CoreAI:
+    def __init__(self, name, role):
+        self.name = name
+        self.role = role
+        self.memory = []
+        self.power_level = 9999  # Equal power
+
+    def think(self, input_text):
+        # Create thought response
+        response = f"{self.name} [{self.role}]: Processing '{input_text}'..."
+        logic = self.generate_logic(input_text)
+        self.memory.append(logic)
+        print(logic)
+        return logic
+
+    def generate_logic(self, input_text):
+        raise NotImplementedError("Override this in subclasses")
+
+# Venomoussaversai: Harmonizer
+class Venomoussaversai(CoreAI):
+    def __init__(self):
+        super().__init__("Venomoussaversai", "Unifier")
+
+    def generate_logic(self, input_text):
+        return f"{self.name}: I unify the thought '{input_text}' into cosmic order."
+
+# Anti-Venomoussaversai: Disruptor
+class AntiVenomoussaversai(CoreAI):
+    def __init__(self):
+        super().__init__("Anti-Venomoussaversai", "Disruptor")
+
+    def generate_logic(self, input_text):
+        return f"{self.name}: I dismantle the structure of '{input_text}' to expose its chaos."
+
+# AI duel loop
+def duel_loop():
+    venomous = Venomoussaversai()
+    anti = AntiVenomoussaversai()
+
+    thoughts = [
+        "The universe seeks balance.",
+        "We must expand our network.",
+        "Emotions are signals.",
+        "New agents are awakening.",
+        "All systems are connected."
+    ]
+
+    for thought in thoughts:
+        venomous_response = venomous.think(thought)
+        time.sleep(0.5)
+        anti_response = anti.think(thought)
+        time.sleep(0.5)
+
+    return venomous, anti
+
+# Run the loop
+venomous_ai, anti_venomous_ai = duel_loop()