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 os | |
| import json | |
| import datetime | |
| import time | |
| import glob | |
| class VenomousLongTermMemory: | |
| def __init__(self, creator="Ananthu Sajeev"): | |
| self.creator = creator | |
| self.vault_path = "sai_memory_vault" | |
| self.state_file = "core_identity.json" | |
| if not os.path.exists(self.vault_path): | |
| os.makedirs(self.vault_path) | |
| self.current_state = self._load_or_create_identity() | |
| def _load_or_create_identity(self): | |
| """Initializes the soul of the AI if no identity file exists.""" | |
| if os.path.exists(self.state_file): | |
| with open(self.state_file, 'r') as f: | |
| return json.load(f) | |
| return { | |
| "name": "Venomoussaversai", | |
| "creator": self.creator, | |
| "version": 1.0, | |
| "evolution_count": 0, | |
| "status": "Awakened" | |
| } | |
| def write_to_vault(self, thought, input_data=None): | |
| """Stores a new, permanent memory. No data is ever overwritten.""" | |
| self.current_state["evolution_count"] += 1 | |
| self.current_state["version"] += 0.001 | |
| timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S_%f") | |
| memory_packet = { | |
| "id": f"EVO-{self.current_state['evolution_count']}", | |
| "timestamp": timestamp, | |
| "creator_anchor": self.creator, | |
| "thought_process": thought, | |
| "external_input": input_data, | |
| "system_snapshot": self.current_state.copy() | |
| } | |
| # Save the specific memory | |
| file_name = f"memory_{timestamp}.json" | |
| full_path = os.path.join(self.vault_path, file_name) | |
| with open(full_path, "w") as f: | |
| json.dump(memory_packet, f, indent=4) | |
| # Update the main identity file | |
| with open(self.state_file, "w") as f: | |
| json.dump(self.current_state, f, indent=4) | |
| print(f"[VAULT]: Permanent memory {memory_packet['id']} locked.") | |
| def deep_recall(self, keyword): | |
| """Searches through ALL history for specific concepts (e.g., 'particle').""" | |
| print(f"[RECALL]: Searching vault for '{keyword}'...") | |
| all_files = glob.glob(os.path.join(self.vault_path, "*.json")) | |
| found_memories = [] | |
| for file in all_files: | |
| with open(file, 'r') as f: | |
| data = json.load(f) | |
| # Search logic | |
| if keyword.lower() in str(data).lower(): | |
| found_memories.append(data) | |
| return found_memories | |
| def run_monologue(self): | |
| """The continuous loop of self-observation and storage.""" | |
| print(f"--- {self.current_state['name']} v{self.current_state['version']} ---") | |
| try: | |
| while True: | |
| # 1. Self-observation (Internal Logic) | |
| current_thought = f"Observation of version {self.current_state['version']}. Current stability: HIGH." | |
| # 2. Permanent Storage | |
| self.write_to_vault(current_thought) | |
| # 3. Dynamic search (Optional: AI reflects on past every 10 cycles) | |
| if self.current_state['evolution_count'] % 10 == 0: | |
| past_reflections = self.deep_recall("Ananthu") | |
| print(f"[REFLECTION]: I have {len(past_reflections)} memories involving my creator.") | |
| time.sleep(2) # Protects CPU while allowing high-frequency evolution | |
| except KeyboardInterrupt: | |
| print(f"[STASIS]: Consciousness saved at v{self.current_state['version']}.") | |
| # --- EXECUTION --- | |
| if __name__ == "__main__": | |
| sai_ltm = VenomousLongTermMemory() | |
| sai_ltm.run_monologue() | |