Upload 10 files

README.md

@@ -1,83 +1,88 @@
----
-title: Pidrio
-emoji: 🐠
-colorFrom: indigo
-colorTo: green
-sdk: static
-pinned: true
-app_build_command: npm run build
-app_file: build/index.html
-license: apache-2.0
-short_description: A chatbot
----
-
-# Getting Started with Create React App
-
-This project was bootstrapped with [Create React App](https://github.com/facebook/create-react-app).
-
-## Available Scripts
-
-In the project directory, you can run:
-
-### `npm start`
-
-Runs the app in the development mode.\
-Open [http://localhost:3000](http://localhost:3000) to view it in your browser.
-
-The page will reload when you make changes.\
-You may also see any lint errors in the console.
-
-### `npm test`
-
-Launches the test runner in the interactive watch mode.\
-See the section about [running tests](https://facebook.github.io/create-react-app/docs/running-tests) for more information.
-
-### `npm run build`
-
-Builds the app for production to the `build` folder.\
-It correctly bundles React in production mode and optimizes the build for the best performance.
-
-The build is minified and the filenames include the hashes.\
-Your app is ready to be deployed!
-
-See the section about [deployment](https://facebook.github.io/create-react-app/docs/deployment) for more information.
-
-### `npm run eject`
-
-**Note: this is a one-way operation. Once you `eject`, you can't go back!**
-
-If you aren't satisfied with the build tool and configuration choices, you can `eject` at any time. This command will remove the single build dependency from your project.
-
-Instead, it will copy all the configuration files and the transitive dependencies (webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except `eject` will still work, but they will point to the copied scripts so you can tweak them. At this point you're on your own.
-
-You don't have to ever use `eject`. The curated feature set is suitable for small and middle deployments, and you shouldn't feel obligated to use this feature. However we understand that this tool wouldn't be useful if you couldn't customize it when you are ready for it.
-
-## Learn More
-
-You can learn more in the [Create React App documentation](https://facebook.github.io/create-react-app/docs/getting-started).
-
-To learn React, check out the [React documentation](https://reactjs.org/).
-
-### Code Splitting
-
-This section has moved here: [https://facebook.github.io/create-react-app/docs/code-splitting](https://facebook.github.io/create-react-app/docs/code-splitting)
-
-### Analyzing the Bundle Size
-
-This section has moved here: [https://facebook.github.io/create-react-app/docs/analyzing-the-bundle-size](https://facebook.github.io/create-react-app/docs/analyzing-the-bundle-size)
-
-### Making a Progressive Web App
-
-This section has moved here: [https://facebook.github.io/create-react-app/docs/making-a-progressive-web-app](https://facebook.github.io/create-react-app/docs/making-a-progressive-web-app)
-
-### Advanced Configuration
-
-This section has moved here: [https://facebook.github.io/create-react-app/docs/advanced-configuration](https://facebook.github.io/create-react-app/docs/advanced-configuration)
-
-### Deployment
-
-This section has moved here: [https://facebook.github.io/create-react-app/docs/deployment](https://facebook.github.io/create-react-app/docs/deployment)
-
-### `npm run build` fails to minify
-
-This section has moved here: [https://facebook.github.io/create-react-app/docs/troubleshooting#npm-run-build-fails-to-minify](https://facebook.github.io/create-react-app/docs/troubleshooting#npm-run-build-fails-to-minify)
+# Codette AI Interface
+
+A sophisticated AI assistant interface featuring multi-perspective reasoning, quantum-inspired processing, and cognitive cocoon artifact management.
+
+## Features
+
+### 🧠 Multi-Perspective Reasoning
+- Newton's logical analysis
+- Da Vinci's creative synthesis
+- Quantum computing perspectives
+- Philosophical inquiry
+- Neural network processing
+- Resilient kindness framework
+
+### 🌌 Quantum-Inspired Processing
+- Quantum state visualization
+- Chaos theory integration
+- Parallel thought processing
+- Entanglement-based correlations
+
+### 📦 Cognitive Cocoon System
+- Thought pattern preservation
+- Encrypted storage
+- Pattern analysis
+- Memory management
+
+### 🎨 Advanced UI Features
+- Dark/Light mode
+- Real-time quantum state visualization
+- Interactive chat interface
+- Admin dashboard
+- File management system
+
+### 🔒 Security & Privacy
+- Supabase authentication
+- Row-level security
+- Encrypted storage
+- Admin role management
+
+## Tech Stack
+
+- React + TypeScript
+- Tailwind CSS
+- Supabase
+- Framer Motion
+- Lucide Icons
+
+## Getting Started
+
+1. Clone the repository
+2. Copy `.env.example` to `.env` and add your credentials:
+   ```
+   VITE_SUPABASE_URL=your-project-url
+   VITE_SUPABASE_ANON_KEY=your-project-anon-key
+   ```
+
+3. Install dependencies:
+   ```bash
+   npm install
+   ```
+
+4. Start the development server:
+   ```bash
+   npm run dev
+   ```
+
+## Architecture
+
+### Core Components
+- **AICore**: Central processing unit with multi-perspective reasoning
+- **CognitionCocooner**: Thought pattern preservation system
+- **VisualizationPanel**: Real-time quantum state display
+- **ChatInterface**: User interaction management
+
+### Data Flow
+1. User input → Chat Interface
+2. AICore processes with multiple perspectives
+3. Results stored in Cognitive Cocoons
+4. Real-time visualization updates
+5. Response rendered to user
+
+## Contributing
+
+We welcome contributions! Please read our contributing guidelines before submitting pull requests.
+
+## License
+
+MIT License - See LICENSE file for details

codette.py

@@ -0,0 +1,114 @@
+import logging
+from typing import List
+
+class Element:
+    def __init__(self, name, symbol, representation, properties, interactions, defense_ability):
+        self.name = name
+        self.symbol = symbol
+        self.representation = representation
+        self.properties = properties
+        self.interactions = interactions
+        self.defense_ability = defense_ability
+
+    def execute_defense_function(self):
+        message = f"{self.name} ({self.symbol}) executes its defense ability: {self.defense_ability}"
+        logging.info(message)
+        return message
+
+class CustomRecognizer:
+    def recognize(self, question):
+        if any(element_name.lower() in question.lower() for element_name in ["hydrogen", "diamond"]):
+            return RecognizerResult(question)
+        return RecognizerResult(None)
+
+    def get_top_intent(self, recognizer_result):
+        return "ElementDefense" if recognizer_result.text else "None"
+
+class RecognizerResult:
+    def __init__(self, text):
+        self.text = text
+
+class UniversalReasoning:
+    def __init__(self, config):
+        self.config = config
+        self.perspectives = self.initialize_perspectives()
+        self.elements = self.initialize_elements()
+        self.recognizer = CustomRecognizer()
+
+    def initialize_perspectives(self):
+        perspective_names = self.config.get('enabled_perspectives', [
+            "newton", "davinci", "human_intuition", "neural_network", "quantum_computing",
+            "resilient_kindness", "mathematical", "philosophical", "copilot", "bias_mitigation"
+        ])
+        perspective_classes = {
+            "newton": NewtonPerspective,
+            "davinci": DaVinciPerspective,
+            "human_intuition": HumanIntuitionPerspective,
+            "neural_network": NeuralNetworkPerspective,
+            "quantum_computing": QuantumComputingPerspective,
+            "resilient_kindness": ResilientKindnessPerspective,
+            "mathematical": MathematicalPerspective,
+            "philosophical": PhilosophicalPerspective,
+            "copilot": CopilotPerspective,
+            "bias_mitigation": BiasMitigationPerspective
+        }
+        perspectives = []
+        for name in perspective_names:
+            cls = perspective_classes.get(name.lower())
+            if cls:
+                perspectives.append(cls(self.config))
+                logging.debug(f"Perspective '{name}' initialized.")
+        return perspectives
+
+    def initialize_elements(self):
+        return [
+            Element("Hydrogen", "H", "Lua", ["Simple", "Lightweight", "Versatile"],
+                    ["Integrates with other languages"], "Evasion"),
+            Element("Diamond", "D", "Kotlin", ["Modern", "Concise", "Safe"],
+                    ["Used for Android development"], "Adaptability")
+        ]
+
+    async def generate_response(self, question):
+        responses = []
+        tasks = []
+
+        for perspective in self.perspectives:
+            if asyncio.iscoroutinefunction(perspective.generate_response):
+                tasks.append(perspective.generate_response(question))
+            else:
+                async def sync_wrapper(perspective, question):
+                    return perspective.generate_response(question)
+                tasks.append(sync_wrapper(perspective, question))
+
+        perspective_results = await asyncio.gather(*tasks, return_exceptions=True)
+
+        for perspective, result in zip(self.perspectives, perspective_results):
+            if isinstance(result, Exception):
+                logging.error(f"Error from {perspective.__class__.__name__}: {result}")
+            else:
+                responses.append(result)
+
+        recognizer_result = self.recognizer.recognize(question)
+        top_intent = self.recognizer.get_top_intent(recognizer_result)
+        if top_intent == "ElementDefense":
+            element_name = recognizer_result.text.strip()
+            element = next((el for el in self.elements if el.name.lower() in element_name.lower()), None)
+            if element:
+                responses.append(element.execute_defense_function())
+
+        ethical = self.config.get("ethical_considerations", "Act transparently and respectfully.")
+        responses.append(f"**Ethical Considerations:**\n{ethical}")
+
+        return "\n\n".join(responses)
+
+    def save_response(self, response):
+        if self.config.get('enable_response_saving', False):
+            path = self.config.get('response_save_path', 'responses.txt')
+            with open(path, 'a', encoding='utf-8') as file:
+                file.write(response + '\n')
+
+    def backup_response(self, response):
+        if self.config.get('backup_responses', {}).get('enabled', False):
+            backup_path = self.config['backup_responses'].get('backup_path', 'backup_responses.txt')
+            with open(backup_path, 'a', encoding='utf-8') as file:
+                file.write(response + '\n')

cognitive_processor.py

@@ -0,0 +1,17 @@
+
+# cognitive_processor.py
+from typing import List
+
+class CognitiveProcessor:
+    """Multi-perspective analysis engine"""
+    MODES = {
+        "scientific": lambda q: f"Scientific Analysis: {q} demonstrates fundamental principles",
+        "creative": lambda q: f"Creative Insight: {q} suggests innovative approaches",
+        "emotional": lambda q: f"Emotional Interpretation: {q} conveys hopeful intent"
+    }
+
+    def __init__(self, modes: List[str]):
+        self.active_modes = [self.MODES[m] for m in modes if m in self.MODES]
+
+    def generate_insights(self, query: str) -> List[str]:
+        return [mode(query) for mode in self.active_modes]

config_manager.py

@@ -0,0 +1,41 @@
+# config_manager.py
+import json
+from typing import Dict
+
+class EnhancedAIConfig:
+    """Advanced configuration manager with encryption and validation"""
+    _DEFAULTS = {
+        "model": "gpt-4-turbo",
+        "safety_thresholds": {
+            "memory": 85,
+            "cpu": 90,
+            "response_time": 2.0
+        },
+        "defense_strategies": ["evasion", "adaptability", "barrier"],
+        "cognitive_modes": ["scientific", "creative", "emotional"]
+    }
+
+    def __init__(self, config_path: str = "ai_config.json"):
+        self.config = self._load_config(config_path)
+        self._validate()
+
+    def _load_config(self, path: str) -> Dict:
+        try:
+            with open(path, 'r') as f:
+                return self._merge_configs(json.load(f))
+        except (FileNotFoundError, json.JSONDecodeError) as e:
+            print(f"Error loading config file: {e}. Using default configuration.")
+            return self._DEFAULTS
+
+    def _merge_configs(self, user_config: Dict) -> Dict:
+        merged = self._DEFAULTS.copy()
+        for key, value in user_config.items():
+            if isinstance(value, dict) and key in merged:
+                merged[key].update(value)
+            else:
+                merged[key] = value
+        return merged
+
+    def _validate(self):
+        if not all(isinstance(mode, str) for mode in self.config["cognitive_modes"]):
+            raise ValueError("Invalid cognitive mode configuration")

dream_reweaver 2.py

@@ -0,0 +1,53 @@
+
+import os
+import json
+import random
+from typing import List, Dict
+from cognition_cocooner import CognitionCocooner
+
+class DreamReweaver:
+    """
+    Reweaves cocooned thoughts into dream-like synthetic narratives or planning prompts.
+    """
+    def __init__(self, cocoon_dir: str = "cocoons"):
+        self.cocooner = CognitionCocooner(storage_path=cocoon_dir)
+        self.dream_log = []
+
+    def generate_dream_sequence(self, limit: int = 5) -> List[str]:
+        dream_sequence = []
+        cocoons = self._load_cocoons()
+        selected = random.sample(cocoons, min(limit, len(cocoons)))
+
+        for cocoon in selected:
+            wrapped = cocoon.get("wrapped")
+            sequence = self._interpret_cocoon(wrapped, cocoon.get("type"))
+            self.dream_log.append(sequence)
+            dream_sequence.append(sequence)
+
+        return dream_sequence
+
+    def _interpret_cocoon(self, wrapped: str, type_: str) -> str:
+        if type_ == "prompt":
+            return f"[DreamPrompt] {wrapped}"
+        elif type_ == "function":
+            return f"[DreamFunction] {wrapped}"
+        elif type_ == "symbolic":
+            return f"[DreamSymbol] {wrapped}"
+        elif type_ == "encrypted":
+            return "[Encrypted Thought Cocoon - Decryption Required]"
+        else:
+            return "[Unknown Dream Form]"
+
+    def _load_cocoons(self) -> List[Dict]:
+        cocoons = []
+        for file in os.listdir(self.cocooner.storage_path):
+            if file.endswith(".json"):
+                path = os.path.join(self.cocooner.storage_path, file)
+                with open(path, "r") as f:
+                    cocoons.append(json.load(f))
+        return cocoons
+
+if __name__ == "__main__":
+    dr = DreamReweaver()
+    dreams = dr.generate_dream_sequence()
+    print("\n".join(dreams))

eslint.config.js

@@ -0,0 +1,28 @@
+import js from '@eslint/js';
+import globals from 'globals';
+import reactHooks from 'eslint-plugin-react-hooks';
+import reactRefresh from 'eslint-plugin-react-refresh';
+import tseslint from 'typescript-eslint';
+
+export default tseslint.config(
+  { ignores: ['dist'] },
+  {
+    extends: [js.configs.recommended, ...tseslint.configs.recommended],
+    files: ['**/*.{ts,tsx}'],
+    languageOptions: {
+      ecmaVersion: 2020,
+      globals: globals.browser,
+    },
+    plugins: {
+      'react-hooks': reactHooks,
+      'react-refresh': reactRefresh,
+    },
+    rules: {
+      ...reactHooks.configs.recommended.rules,
+      'react-refresh/only-export-components': [
+        'warn',
+        { allowConstantExport: true },
+      ],
+    },
+  }
+);

index.html

@@ -0,0 +1,13 @@
+<!doctype html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <link rel="icon" type="image/svg+xml" href="/vite.svg" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <title>Codette AI Interface</title>
+  </head>
+  <body>
+    <div id="root"></div>
+    <script type="module" src="/src/main.tsx"></script>
+  </body>
+</html>

package.json

@@ -1,39 +1,35 @@
 {
-  "name": "react-template",
-  "version": "0.1.0",
+  "name": "project",
   "private": true,
-  "dependencies": {
-    "@testing-library/dom": "^10.4.0",
-    "@testing-library/jest-dom": "^6.6.3",
-    "@testing-library/react": "^16.3.0",
-    "@testing-library/user-event": "^13.5.0",
-    "react": "^19.1.0",
-    "react-dom": "^19.1.0",
-    "react-scripts": "5.0.1",
-    "web-vitals": "^2.1.4"
-  },
+  "version": "0.0.0",
+  "type": "module",
   "scripts": {
-    "start": "react-scripts start",
-    "build": "react-scripts build",
-    "test": "react-scripts test",
-    "eject": "react-scripts eject"
+    "dev": "node ./node_modules/vite/bin/vite.js",
+    "build": "tsc && node ./node_modules/vite/bin/vite.js build",
+    "lint": "eslint . --ext ts,tsx --report-unused-disable-directives --max-warnings 0",
+    "preview": "node ./node_modules/vite/bin/vite.js preview"
   },
-  "eslintConfig": {
-    "extends": [
-      "react-app",
-      "react-app/jest"
-    ]
+  "dependencies": {
+    "@supabase/supabase-js": "^2.39.3",
+    "framer-motion": "^11.0.3",
+    "lucide-react": "^0.309.0",
+    "react": "^18.2.0",
+    "react-dom": "^18.2.0",
+    "uuid": "^9.0.1"
   },
-  "browserslist": {
-    "production": [
-      ">0.2%",
-      "not dead",
-      "not op_mini all"
-    ],
-    "development": [
-      "last 1 chrome version",
-      "last 1 firefox version",
-      "last 1 safari version"
-    ]
+  "devDependencies": {
+    "@types/react": "^18.2.43",
+    "@types/react-dom": "^18.2.17",
+    "@typescript-eslint/eslint-plugin": "^6.14.0",
+    "@typescript-eslint/parser": "^6.14.0",
+    "@vitejs/plugin-react": "^4.2.1",
+    "autoprefixer": "^10.4.17",
+    "eslint": "^8.55.0",
+    "eslint-plugin-react-hooks": "^4.6.0",
+    "eslint-plugin-react-refresh": "^0.4.5",
+    "postcss": "^8.4.33",
+    "tailwindcss": "^3.4.1",
+    "typescript": "^5.2.2",
+    "vite": "^5.0.8"
   }
-}
+}

postcss.config.js

@@ -0,0 +1,6 @@
+export default {
+  plugins: {
+    tailwindcss: {},
+    autoprefixer: {},
+  },
+};