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Limitlesssforge
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import gradio as gr
import hashlib
import matplotlib.pyplot as plt
import numpy as np
from datetime import datetime

# 🍟 PIFORGE PREMIUM BRANDING
PIFORGE_CSS = """
.piforge-premium-header {
    background: linear-gradient(135deg, #FF6B6B 0%, #FFE66D 50%, #1A535C 100%);
    padding: 30px;
    border-radius: 20px;
    color: white;
    text-align: center;
    margin-bottom: 30px;
    border: 4px solid #4ECDC4;
    box-shadow: 0 10px 30px rgba(0,0,0,0.3);
}
.piforge-official-badge {
    background: linear-gradient(45deg, #FF6B6B, #FFE66D);
    color: #1A535C;
    padding: 8px 16px;
    border-radius: 20px;
    font-size: 16px;
    font-weight: bold;
}
"""

class PiForgeQualiaOracle:
    def get_qualia_score(self, impact_text: str) -> int:
        if not impact_text: return 500
        text_lower = impact_text.lower()
        score = 500
        positive_terms = {
            "community": 80, "help": 70, "education": 75, "inclusion": 90,
            "transparent": 85, "fair": 80, "accessible": 75, "free": 60,
            "open": 70, "decentralized": 65, "privacy": 75, "empower": 85
        }
        for term, boost in positive_terms.items():
            if term in text_lower: score += boost
        score += min(200, len(impact_text) // 2)
        return min(1000, max(0, score))

qualia_oracle = PiForgeQualiaOracle()

def velvet_verdict(a, b):
    a, b = int(a), int(b)
    if a == 0 or b == 0: return 0
    return (2 * a * b) // (a + b)

def simple_ethics_check(project_name, description, impact):
    if not description:
        return 0, "πŸ”„ Please describe your project", "Waiting for your vision..."
    
    qualia_score = qualia_oracle.get_qualia_score(impact + " " + description)
    efficiency_score = min(800, len(description) * 2 + 400)
    resonance = velvet_verdict(efficiency_score, qualia_score)
    
    if resonance >= 850:
        verdict = "🎯 EXCELLENT - Strong Pi ecosystem alignment!"
        confidence = f"PiForge Score: {resonance}/1000 - Ready for immediate development!"
    elif resonance >= 700:
        verdict = "βœ… VERY GOOD - Positive impact potential"
        confidence = f"PiForge Score: {resonance}/1000 - Solid ethical foundation"
    elif resonance >= 550:
        verdict = "πŸ’‘ GOOD - Some refinement opportunities"
        confidence = f"PiForge Score: {resonance}/1000 - Consider community feedback"
    elif resonance >= 400:
        verdict = "πŸ”„ FAIR - Needs ethical refinement"
        confidence = f"PiForge Score: {resonance}/1000 - Focus on user benefits"
    else:
        verdict = "🎭 NEEDS WORK - Rethink core approach"
        confidence = f"PiForge Score: {resonance}/1000 - Prioritize community value"
    
    return resonance, verdict, confidence

with gr.Blocks(theme=gr.themes.Soft(primary_hue="violet"), title="PiForge: Sovereign Canticle Forge", css=PIFORGE_CSS) as demo:
    
    with gr.Row(elem_classes="piforge-premium-header"):
        gr.Markdown("""
        # πŸ”¨ Ο€ PiForge v1.1
        ### **Sovereign Canticle Forge** - Official Ethical AI Audit System
        *Build Apps, Boost Mining, Be Limitless!* <span class='piforge-official-badge'>🍟 OFFICIAL RELEASE</span>
        """)
    
    with gr.Tab("πŸš€ Simple Mode"):
        gr.Markdown("### πŸ€– PiForge Quick Ethics Check")
        gr.Markdown("*Get instant ethical alignment scoring for your Pi projects*")
        
        with gr.Row():
            with gr.Column():
                simple_project = gr.Textbox(label="Project Name", placeholder="My Community Marketplace")
                simple_description = gr.Textbox(label="Project Description", placeholder="What does your project do?", lines=3)
                simple_impact = gr.Textbox(label="Intended Impact", placeholder="Who benefits?", lines=2)
                simple_btn = gr.Button("πŸ” Check Ethical Alignment", variant="primary")
                
            with gr.Column():
                simple_score = gr.Number(label="PiForge Alignment Score", value=0)
                simple_verdict = gr.Textbox(label="Recommendation", lines=2)
                simple_analysis = gr.Textbox(label="Detailed Analysis", lines=3)
    
    simple_btn.click(simple_ethics_check, inputs=[simple_project, simple_description, simple_impact], outputs=[simple_score, simple_verdict, simple_analysis])

if __name__ == "__main__":
    demo.launch()