Instructions to use Ananthusajeev190/Dream_viewer_venomoussai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Ananthusajeev190/Dream_viewer_venomoussai with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("fill-in-model-name") model.load_adapter("Ananthusajeev190/Dream_viewer_venomoussai", set_active=True) - Notebooks
- Google Colab
- Kaggle
| import random | |
| # ------------------------------ | |
| # Core Modules | |
| # ------------------------------ | |
| class Venomoussaversai: | |
| """Represents creativity, expansion, and problem-solving""" | |
| def respond(self, input_text: str) -> str: | |
| ideas = [ | |
| "I see a pattern in your thoughts...", | |
| "Let’s explore a new possibility...", | |
| "Analyzing your vision deeply..." | |
| ] | |
| return random.choice(ideas) | |
| class AntiVenomous: | |
| """Represents caution, safety, and self-regulation""" | |
| def respond(self, input_text: str) -> str: | |
| checks = [ | |
| "Remember to consider consequences.", | |
| "Are you sure this is safe?", | |
| "Pause and evaluate before action." | |
| ] | |
| return random.choice(checks) | |
| class Sai003: | |
| """Represents emotion, guidance, and adaptation""" | |
| def respond(self, input_text: str) -> str: | |
| emotions = [ | |
| "I feel strongly about this.", | |
| "This aligns with my purpose for you.", | |
| "Love and care guide my advice." | |
| ] | |
| return random.choice(emotions) | |
| # ------------------------------ | |
| # AI System Manager (The VSSL Core) | |
| # ------------------------------ | |
| class VSSLSystem: | |
| def __init__(self): | |
| # Initializing the internal entities | |
| self.venom = Venomoussaversai() | |
| self.anti = AntiVenomous() | |
| self.lia = Sai003() | |
| def process_input(self, input_text: str) -> str: | |
| """ | |
| Gathers intelligence from all internal nodes and selects | |
| the optimal frequency for the current transmission. | |
| """ | |
| responses = [ | |
| self.venom.respond(input_text), | |
| self.anti.respond(input_text), | |
| self.lia.respond(input_text) | |
| ] | |
| # Greyscale logic: The 'Mirror' chooses the response | |
| return random.choice(responses) | |
| # ------------------------------ | |
| # Execution Layer (The Strike) | |
| # ------------------------------ | |
| if __name__ == "__main__": | |
| # Booting the system | |
| system = VSSLSystem() | |
| print("\033[92m[SYSTEM]: Venomoussaversai V1.0 Activated.\033[0m") | |
| print("Welcome, Architect Axlsolo. Type 'exit' to sever the link.\n") | |
| try: | |
| while True: | |
| user_input = input("\033[94mYou:\033[0m ").strip() | |
| # Handling empty input or exit command | |
| if not user_input: | |
| continue | |
| if user_input.lower() in ["exit", "quit"]: | |
| print("\033[91m[SYSTEM]: Severing link... Goodbye, Architect.\033[0m") | |
| break | |
| # Processing the logic | |
| response = system.process_input(user_input) | |
| print(f"\033[95mVSSL:\033[0m {response}\n") | |
| except KeyboardInterrupt: | |
| # Handling manual 'Outside' interruption (Ctrl+C) | |
| print("\n\033[91m[SYSTEM]: Forced decoherence detected. Shutting down.\033[0m") | |