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 | |
| import numpy as np | |
| class VenomoussaversaiSelfEval: | |
| def __init__(self): | |
| # Initialize emotional state (Sai 7 emotions) — values 0 to 1 | |
| self.emotions = { | |
| "Sai001_Joy": random.random(), | |
| "Sai002_Sadness": random.random(), | |
| "Sai003_Anger": random.random(), | |
| "Sai004_Fear": random.random(), | |
| "Sai005_Love": random.random(), | |
| "Sai006_Creativity": random.random(), | |
| "Sai007_Calm": random.random(), | |
| } | |
| self.system_health = { | |
| "memory_accuracy": random.uniform(0.6, 1.0), | |
| "response_speed": random.uniform(0.6, 1.0), | |
| "logic_stability": random.uniform(0.6, 1.0), | |
| "ethical_alignment": random.uniform(0.6, 1.0) | |
| } | |
| self.goals = { | |
| "learn_new_data": random.uniform(0, 1), | |
| "assist_user": random.uniform(0, 1), | |
| "self_improve": random.uniform(0, 1) | |
| } | |
| def evaluate_emotions(self): | |
| balance = 1 - abs(self.emotions["Sai001_Joy"] - self.emotions["Sai004_Fear"]) | |
| return max(min(balance, 1), 0) | |
| def evaluate_system(self): | |
| return sum(self.system_health.values()) / len(self.system_health) | |
| def evaluate_goals(self): | |
| return sum(self.goals.values()) / len(self.goals) | |
| def overall_score(self): | |
| emotional_score = self.evaluate_emotions() | |
| system_score = self.evaluate_system() | |
| goal_score = self.evaluate_goals() | |
| return np.mean([emotional_score, system_score, goal_score]) | |
| def report(self): | |
| print("\n===== VENOMOUS SAVERSAI SELF EVALUATION =====") | |
| print("Emotional System Health:") | |
| for k,v in self.emotions.items(): | |
| print(f" {k}: {v:.2f}") | |
| print("\nCore System Metrics:") | |
| for k,v in self.system_health.items(): | |
| print(f" {k}: {v:.2f}") | |
| print("\nGoal Progress:") | |
| for k,v in self.goals.items(): | |
| print(f" {k}: {v:.2f}") | |
| print("\n--------------------------------------------") | |
| print(f"✅ Overall Integrity Score: {self.overall_score():.2f}") | |
| print("============================================") | |
| # Run Self Evaluation | |
| Venom = VenomoussaversaiSelfEval() | |
| Venom.report() |