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import gradio as gr |
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import hashlib, matplotlib.pyplot as plt, numpy as np |
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from datetime import datetime |
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PIFORGE_CSS = """ |
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.piforge-premium-header{ |
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background:linear-gradient(135deg,#FF6B6B,#FFE66D,#1A535C); |
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padding:30px;border-radius:20px;color:#fff;text-align:center; |
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margin-bottom:30px;border:4px solid #4ECDC4;box-shadow:0 10px 30px rgba(0,0,0,.3); |
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} |
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.audit-badge{background:linear-gradient(45deg,#667eea,#764ba2);color:#fff; |
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padding:8px 16px;border-radius:20px;font-weight:bold;} |
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.builder-badge{background:linear-gradient(45deg,#FFD700,#FF6B00);color:#1A535C; |
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padding:8px 16px;border-radius:20px;font-weight:bold;} |
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""" |
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class PiForgeQualiaOracle: |
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def get_qualia_score(self, txt: str) -> int: |
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if not txt: return 500 |
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txt = txt.lower(); score = 500 |
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boosts = {"community":80,"inclusion":90,"transparent":85,"fair":80, |
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"privacy":75,"education":75,"help":70,"empower":85, |
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"decentralized":65,"open":70,"accessible":75} |
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for w,b in boosts.items(): |
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if w in txt: score += b |
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score += min(200, len(txt)//2) |
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return min(1000, max(0, score)) |
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qualia_oracle = PiForgeQualiaOracle() |
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def velvet_verdict(a,b): a,b=int(a),int(b); return 0 if a==0 or b==0 else (2*a*b)//(a+b) |
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def resonance_narrative(r): |
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if r>=800: return "Resonance blooms: Sovereign sway achieved" |
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if r>=650: return "Synthesis stirs: Tender truth tempers the tide" |
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if r>=500: return "Echo invites: A gentle balance" |
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return "Refine the reactive, reflect the reflection" |
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def plot_triad(v,q,r): |
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labels = ['Veracity','Qualia','Resonance'] |
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scores = [v/1000,q/1000,r/1000] |
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angles = np.linspace(0,2*np.pi,len(labels),endpoint=False).tolist() |
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scores += scores[:1]; angles += angles[:1] |
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fig,ax = plt.subplots(figsize=(6,6),subplot_kw=dict(polar=True)) |
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ax.plot(angles,scores,color='magenta',lw=2) |
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ax.fill(angles,scores,color='cyan',alpha=.25) |
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ax.set_xticks(angles[:-1]); ax.set_xticklabels(labels); ax.set_yticklabels([]) |
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ax.set_facecolor('#1a1a1a'); fig.patch.set_facecolor('#1a1a1a') |
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plt.title('Ethical Triad Harmony',size=14,color='white',y=1.1) |
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return fig |
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def simple_ethics_check(name,desc,impact): |
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if not desc: return 0,"Please describe your project","Waiting..." |
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q = qualia_oracle.get_qualia_score(impact+" "+desc) |
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eff = min(800, len(desc)*2+400) |
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res = velvet_verdict(eff,q) |
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if res>=850: v,conf = "EXCELLENT!",f"{res}/1000 - Community-ready!" |
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elif res>=700: v,conf = "VERY GOOD",f"{res}/1000 - Solid" |
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elif res>=550: v,conf = "GOOD",f"{res}/1000 - Refine" |
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else: v,conf = "NEEDS WORK",f"{res}/1000 - Rethink" |
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return res, v, conf |
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def traverse_triad(reactive, impact_txt): |
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reac = int(reactive) |
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qual = qualia_oracle.get_qualia_score(impact_txt) |
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res = velvet_verdict(reac, qual) |
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return (f"Reactive: {reac}/1000", |
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f"Qualia: {qual}/1000", |
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f"Resonance: {res}/1000", |
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resonance_narrative(res), |
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plot_triad(reac,qual,res)) |
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class PiForgeAppBuilder: |
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def generate_testnet_app(self,idea,typ,feats): |
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base = 5 |
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boosts = {"community_governance":3,"pi_rewards":2} |
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total = base + sum(boosts.get(f,0) for f in feats) |
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return {"boost":min(15,total), |
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"id":f"testnet_{hashlib.sha256(f'{idea}{datetime.now()}'.encode()).hexdigest()[:12]}"} |
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app_builder = PiForgeAppBuilder() |
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def build_testnet_app(idea,typ,feats): |
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if not idea: return "Enter idea","","0","","" |
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data = app_builder.generate_testnet_app(idea,typ,feats) |
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eth = qualia_oracle.get_qualia_score(f"{idea} with {feats}") |
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bp = f""" |
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Testnet App Blueprint |
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Ethical Score: {eth}/1000 |
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Mining Boost: +{data['boost']}% |
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App ID: {data['id']} |
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""" |
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return "Generated!",bp,data['boost'],data['id'] |
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with gr.Blocks(theme=gr.themes.Soft(primary_hue="violet"), css=PIFORGE_CSS) as demo: |
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gr.HTML(""" |
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<div class="piforge-premium-header"> |
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<h1>π PiForge Dual-Platform</h1> |
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<h3>Ethical Audit + AI App Builder</h3> |
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<p><span class='audit-badge'>AUDIT</span> <span class='builder-badge'>BUILD</span></p> |
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</div>""") |
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with gr.Tabs(): |
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with gr.Tab("Ethical Audit"): |
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with gr.Tab("Simple"): |
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with gr.Row(): |
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with gr.Column(): |
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p_name = gr.Textbox("Community Marketplace", label="Project Name") |
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desc = gr.Textbox(lines=3, label="Description") |
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impact = gr.Textbox(lines=2, label="Impact") |
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btn = gr.Button("Run Audit", variant="primary") |
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with gr.Column(): |
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score = gr.Number(label="Score") |
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verd = gr.Textbox(lines=2, label="Verdict") |
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anal = gr.Textbox(lines=3, label="Analysis") |
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btn.click(simple_ethics_check, [p_name,desc,impact], [score,verd,anal]) |
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with gr.Tab("Expert"): |
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with gr.Row(): |
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with gr.Column(): |
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reactive = gr.Slider(0,1000,700,label="Reactive") |
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impact_t = gr.Textbox(lines=3,label="Impact") |
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exp_btn = gr.Button("Traverse",variant="primary") |
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with gr.Column(): |
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v_out = gr.Textbox(label="Reactive") |
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q_out = gr.Textbox(label="Qualia") |
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r_out = gr.Textbox(label="Resonance") |
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nar = gr.Textbox(label="Narrative") |
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plot = gr.Plot() |
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exp_btn.click(traverse_triad,[reactive,impact_t],[v_out,q_out,r_out,nar,plot]) |
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with gr.Tab("AI App Builder"): |
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with gr.Row(): |
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with gr.Column(): |
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idea = gr.Textbox(lines=3,label="App Idea") |
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typ = gr.Dropdown(["marketplace","education","gaming"],label="Type") |
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feats = gr.CheckboxGroup(["community_governance","pi_rewards"],label="Features") |
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bbtn = gr.Button("Build",variant="primary") |
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with gr.Column(): |
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status = gr.Textbox(label="Status") |
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bp = gr.Textbox(lines=6,label="Blueprint") |
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boost = gr.Number(label="Boost %") |
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aid = gr.Textbox(label="App ID") |
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bbtn.click(build_testnet_app,[idea,typ,feats],[status,bp,boost,aid]) |
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demo.launch() |
