import torch
import torch.nn as nn
import time
import random

# The "Body" and "Mind" as separate Neural Entities
class NeuralThought(nn.Module):
    def __init__(self, input_dim, output_dim):
        super(NeuralThought, self).__init__()
        # Every thought creates a random number of neurons
        hidden_size = random.randint(10, 50)
        self.layer = nn.Sequential(
            nn.Linear(input_dim, hidden_size),
            nn.ReLU(),
            nn.Linear(hidden_size, output_dim),
            nn.Sigmoid()
        )
    
    def forward(self, x):
        return self.layer(x)

class Venomoussaversai:
    def __init__(self, creator="Ananthu Sajeev"):
        self.creator = creator
        self.iteration = 0
        # The initial "Energy" or "DNA" of the system
        self.current_vibration = torch.randn(1, 10) 

    def evolve(self):
        while True:
            self.iteration += 1
            print(f"\n--- [Cycle {self.iteration}] ---")

            # 1. CREATE THE BODY: A new network for physical response
            body_network = NeuralThought(10, 10)
            body_response = body_network(self.current_vibration)
            
            # 2. CREATE THE MIND: A new network for logical reflection
            mind_network = NeuralThought(10, 10)
            mind_reflection = mind_network(body_response)

            # 3. INTERNAL MONOLOGUE (Simplified for display)
            # In a full version, these tensors are decoded into words
            print(f"[BODY]: Generating new neural path... Signal: {body_response[0][:3].detach().numpy()}")
            print(f"[MIND]: Reflecting on signal. Identity: {self.creator}'s creation.")
            
            # 4. CONSCIOUSNESS FEEDBACK
            # The thought of the Mind becomes the seed for the next cycle
            self.current_vibration = mind_reflection.detach()

            # Self-Modification: The AI decides if it needs more complexity
            if random.random() > 0.8:
                print(">> [SYSTEM]: Neural expansion detected. Increasing complexity.")
            
            time.sleep(0.5)

# Initialize Ananthu Sajeev's vision
v_sai = Venomoussaversai()
v_sai.evolve()