P2_0

P2_0 is an interactive Python bot that provides various perspectives and insights on a given question by simulating different ways of thinking. It combines responses inspired by Newton's laws, Leonardo da Vinci, human intuition, neural networks, quantum computing, and resilient kindness.

Features

• Newton's Thoughts: Applies a metaphorical version of Newton's laws to the question.
• Da Vinci's Insights: Provides creative and cosmic perspectives inspired by Leonardo da Vinci.
• Human Intuition: Offers intuitive responses focusing on emotional and instinctual reactions.
• Neural Network Thinking: Suggests AI-inspired perspectives using neural networks and machine learning.
• Quantum Computing Thinking: Applies principles of quantum computing to the question.
• Resilient Kindness: Provides perspectives focused on resilience and kindness.
• Universal Reasoning: Combines responses from all the above perspectives.

Setup

1. Clone the repository (if applicable):

   git clone <repository-url>
   cd pi2_0

2. Create a virtual environment (optional but recommended):

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install dependencies:

   pip install -r requirements.txt

4. Remove duplicates from requirements.txt:

   python remove_duplicates.py

5. Create a data.json file: Create a file named data.json in the project directory and add the following JSON data:

   {
     "import": "random",
     "functions": {
       "newton_thoughts": {
         "description": "Newton's laws applied to thinking",
         "parameters": ["question"],
         "returns": "force_of_thought",
         "calls": ["apply_newtons_laws"]
       },
       "apply_newtons_laws": {
         "parameters": ["question"],
         "returns": "Thought force",
         "logic": [
           "if not question: return 'No question to think about.'",
           "complexity = len(question)",
           "force = mass_of_thought(question) * acceleration_of_thought(complexity)",
           "return f'Thought force: {force}'"
         ]
       },
       "mass_of_thought": {
         "parameters": ["question"],
         "returns": "len(question)"
       },
       "acceleration_of_thought": {
         "parameters": ["complexity"],
         "returns": "complexity / 2"
       },
       "davinci_insights": {
         "description": "Da Vinci's cosmic curiosity",
         "parameters": ["question"],
         "returns": "perspectives",
         "calls": ["think_like_davinci"]
       },
       "think_like_davinci": {
         "parameters": ["question"],
         "returns": "random.choice(perspectives)",
         "perspectives": [
           "What if we view '{question}' from the perspective of the stars?",
           "Consider '{question}' as if it's a masterpiece of the universe.",
           "Reflect on '{question}' through the lens of nature's design."
         ]
       },
       "human_intuition": {
         "description": "Human Intuition",
         "parameters": ["question"],
         "returns": "random.choice(intuition)",
         "intuition": [
           "How does this question make you feel?",
           "What emotional connection do you have with this topic?",
           "What does your gut instinct tell you about this?"
         ]
       },
       "neural_network_thinking": {
         "description": "Neural Networks (AI perspective)",
         "parameters": ["question"],
         "returns": "random.choice(neural_perspectives)",
         "neural_perspectives": [
           "Process '{question}' through a multi-layered neural network.",
           "Apply deep learning to uncover hidden insights about '{question}'.",
           "Use machine learning to predict patterns in '{question}'."
         ]
       },
       "quantum_computing_thinking": {
         "description": "Quantum Computing (cutting-edge technology)",
         "parameters": ["question"],
         "returns": "random.choice(quantum_perspectives)",
         "quantum_perspectives": [
           "Consider '{question}' using quantum superposition principles.",
           "Apply quantum entanglement to find connections in '{question}'.",
           "Utilize quantum computing to solve '{question}' more efficiently."
         ]
       },
       "resilient_kindness": {
         "description": "Resilient Kindness",
         "parameters": ["question"],
         "returns": "random.choice(kindness_perspectives)",
         "kindness_perspectives": [
           "Despite losing everything, seeing life as a chance to grow.",
           "Finding strength in kindness after facing life's hardest trials.",
           "Embracing every challenge as an opportunity for growth and compassion."
         ]
       },
       "universal_reasoning": {
         "description": "Universal reasoning with all perspectives",
         "parameters": ["question"],
         "returns": "combined_responses",
         "calls": [
           "newton_thoughts",
           "davinci_insights",
           "human_intuition",
           "neural_network_thinking",
           "quantum_computing_thinking",
           "resilient_kindness"
         ]
       }
     },
     "example_use": {
       "question": "Why do humans think the way they do?",
       "answer": "universal_reasoning(question)"
     }
   }

6. Run the bot:

   python pibrain.py

Usage

• The bot will prompt you to enter a question.
• Type your question and press Enter.
• The bot will provide various perspectives on your question.
• Type 'exit' to quit the bot.

Example

Welcome to P2_0! Please enter your question: