Update app.py

app.py

@@ -1,438 +1,149 @@
-import os
 import gradio as gr
-import requests
-import random
-import time
+import hashlib, matplotlib.pyplot as plt, numpy as np
 from datetime import datetime
-from typing import Optional
 
-# API Keys
-XAI_API_KEY = os.environ.get('XAI_API_KEY')
-RUNWAY_API_KEY = os.environ.get('RUNWAY_API_KEY')
-
-# Expanded movie database (unchanged)
-MOVIE_TEMPLATES = {
-    "epic_fantasy": {
-        "title": "🏰 Epic Fantasy Quest",
-        "examples": [
-            "A hobbit's quest to destroy a powerful ring",
-            "A young wizard's journey to defeat a dark lord",
-        ]
-    },
-    "sci_fi_adventure": {
-        "title": "🚀 Sci-Fi Space Opera",
-        "examples": [
-            "A starship crew exploring unknown galaxies",
-            "First contact with an alien civilization"
-        ]
-    },
-    "action_thriller": {
-        "title": "💥 High-Octane Action",
-        "examples": [
-            "A rogue agent's global chase against a shadow cabal",
-            "Undercover cop vs. cartel kingpin in neon-lit streets"
-        ]
-    },
-    "horror_mystery": {
-        "title": "👻 Chilling Horror",
-        "examples": [
-            "A haunted house awakens ancient curses",
-            "Small-town vanishings reveal a cult's dark secret"
-        ]
-    },
-    "rom_com": {
-        "title": "❤️ Romantic Comedy",
-        "examples": [
-            "Fake dating turns real amid wedding chaos",
-            "Rival chefs spark love in a culinary showdown"
-        ]
-    }
+# CSS
+PIFORGE_CSS = """
+.piforge-premium-header{
+    background:linear-gradient(135deg,#FF6B6B,#FFE66D,#1A535C);
+    padding:30px;border-radius:20px;color:#fff;text-align:center;
+    margin-bottom:30px;border:4px solid #4ECDC4;box-shadow:0 10px 30px rgba(0,0,0,.3);
 }
-
-# Top 2025 actors (unchanged)
-TOP_ACTORS = [
-    "Tom Holland", "Dwayne Johnson", "Tom Cruise", "Chris Hemsworth", "Pedro Pascal",
-    "Robert Downey Jr.", "Will Smith", "Jason Statham", "Rachel Zegler", "Eiza González",
-    "Monica Barbaro", "Sophie Wilde", "Joseph Quinn", "David Corenswet"
-]
-
-# MPAA ratings (unchanged)
-MPAA_RATINGS = ["G", "PG", "PG-13", "R", "NC-17"]
-
-def test_connection():
-    """Test xAI connection (unchanged)"""
-    if not XAI_API_KEY:
-        return "❌ API key not found in environment", "🔴 Offline"
-    
-    headers = {'Authorization': f'Bearer {XAI_API_KEY}'}
-    try:
-        response = requests.get('https://api.x.ai/v1/models', headers=headers, timeout=10)
-        if response.status_code == 200:
-            return "✅ xAI Connected! Ready for production! 🎬", "🟢 Online"
-        else:
-            return f"❌ API Error: {response.status_code} - {response.text}", "🔴 Offline"
-    except Exception as e:
-        return f"❌ Connection error: {str(e)}", "🔴 Offline"
-
-def test_runway_connection():
-    """Test Runway ML connection"""
-    if not RUNWAY_API_KEY:
-        return "❌ Runway API key not found", "🔴 Offline"
-    
-    headers = {'Authorization': f'Bearer {RUNWAY_API_KEY}', 'Content-Type': 'application/json'}
-    base_url = 'https://api.runwayml.com/v1'
-    try:
-        # Simple ping: GET /tasks (or models if available; using a safe endpoint)
-        response = requests.get(f"{base_url}/tasks", headers=headers, timeout=10)
-        if response.status_code == 200 or response.status_code == 401:  # 401 ok for auth test
-            return "✅ Runway Connected! Videos incoming... 🎞️", "🟢 Online"
-        else:
-            return f"❌ Runway Error: {response.status_code}", "🔴 Offline"
-    except Exception as e:
-        return f"❌ Runway Connection error: {str(e)}", "🔴 Offline"
-
-def generate_cinematic_story(original_story, sequel_start, selected_actors, extras, story_type="epic_fantasy"):
-    """Generate story (unchanged from v2)"""
-    if not original_story or not sequel_start:
-        return "❌ Please fill in both story fields!"
-    
-    # Cast lead/support
-    lead_actor = random.choice(selected_actors) if selected_actors else random.choice(TOP_ACTORS)
-    support_actors = [a for a in selected_actors if a != lead_actor][:2]
-    
-    # Random rating based on genre
-    rating = random.choice(["PG-13", "R"] if "horror" in story_type or "action" in story_type else MPAA_RATINGS)
-    
-    headers = {
-        'Authorization': f'Bearer {XAI_API_KEY}',
-        'Content-Type': 'application/json'
-    }
-    
-    # Enhanced prompt with actors, extras, genre
-    extras_str = f" Include these elements: {extras}." if extras else ""
-    actors_str = f" Cast {lead_actor} as the lead hero. Feature {', '.join(support_actors)} in supporting roles.{extras_str}"
-    
-    prompt = f"""
-    Create a blockbuster movie sequel in the {story_type} genre (MPAA rating: {rating}):
-
-    Original: {original_story}
-    Sequel starts: {sequel_start}
-    {actors_str}
-
-    Write an engaging, cinematic sequel synopsis (300-400 words) with:
-    - Strong character arcs for the lead ({lead_actor})
-    - Key scenes: 3-5 high-stakes action/emotional beats
-    - Plot twists from extras
-    - Blockbuster ending hook
-    Keep it vivid, dialogue-snappy, and ready for the big screen!
-    """
-    
-    data = {
-        'model': 'grok-beta',
-        'messages': [{'role': 'user', 'content': prompt}],
-        'max_tokens': 600,
-        'temperature': 0.8
-    }
-    
-    try:
-        response = requests.post(
-            'https://api.x.ai/v1/chat/completions',
-            headers=headers,
-            json=data,
-            timeout=30
-        )
-        
-        if response.status_code == 200:
-            result = response.json()
-            story = result['choices'][0]['message']['content']
-        else:
-            story = _generate_fallback_story(original_story, sequel_start, lead_actor, support_actors, extras, story_type, rating)
-            
-    except Exception as e:
-        story = _generate_fallback_story(original_story, sequel_start, lead_actor, support_actors, extras, story_type, rating)
-    
-    production_id = f"PROD-{random.randint(10000,99999)}-{datetime.now().strftime('%m%d')}"
-    
-    cast_section = f"**CAST HIGHLIGHTS:**\n• Lead: {lead_actor}\n" + "\n".join([f"• Support: {a}" for a in support_actors]) if support_actors else ""
-    
-    # Return story with trailer prompt extraction (key scene for video)
-    trailer_prompt = story.split('Key scenes:')[1].split('.')[0].strip() if 'Key scenes:' in story else f"Epic {story_type} battle featuring {lead_actor}"
-    
-    return f"""
-🎬 **PRODUCTION MEMO: {story_type.upper()} SEQUEL** 🎬
-**Project ID:** {production_id} | **Rating:** {rating} | **Genre:** {MOVIE_TEMPLATES[story_type]['title']}
-
-**{lead_actor}'s LEGEND CONTINUES...**
-
-{story}
-
----
-**CAST SHEET:**
-{cast_section}
-
-✨ Lights, camera, sequel! Ready for trailer? 🚀
-**Trailer Prompt:** {trailer_prompt}
-    """, trailer_prompt
-
-def _generate_fallback_story(original_story, sequel_start, lead_actor, support_actors, extras, story_type, rating):
-    """Fallback (unchanged)"""
-    extras_str = f" with twists like {extras}" if extras else ""
-    support_str = f" alongside {', '.join(support_actors)}" if support_actors else ""
-    
-    if "fantasy" in story_type:
-        plot = f"Years after {original_story}, {lead_actor} reprises the scarred warrior-king, facing a cataclysmic rift summoning shadow beasts{support_str}. {extras_str} In blistering battles across fractured realms, {lead_actor} uncovers a betrayal that tests loyalty and reignites old flames. Key scenes: A throne-room ambush, a forbidden portal chase, and an earth-shaking demon duel. Arc: From jaded ruler to unbreakable legend."
-    elif "sci_fi" in story_type:
-        plot = f"Post-{original_story}, {lead_actor} commands a ragtag fleet against an AI overlord devouring stars{support_str}. {extras_str} Quantum jumps and zero-G dogfights ensue, revealing a personal clone conspiracy. Key scenes: Black hole evasion, holographic interrogations, epic wormhole assault. Arc: Doubtful captain to galaxy's defiant savior."
-    elif "action" in story_type:
-        plot = f"After {original_story}, {lead_actor} hunts a rogue syndicate in rain-slicked megacities{support_str}. {extras_str} Explosive set-pieces include subway heists and rooftop pursuits. Key scenes: Double-cross diner shootout, armored convoy takedown, skyline finale. Arc: Lone wolf to team-forged avenger."
-    elif "horror" in story_type:
-        plot = f"Haunted by {original_story}, {lead_actor} investigates viral nightmares plaguing the world{support_str}. {extras_str} Creeping dread builds to possessions and ritual showdowns. Key scenes: Foggy asylum lockdown, mirror-world traps, blood-moon ritual. Arc: Skeptic to harbinger of the damned."
-    else:  # rom_com
-        plot = f"Following {original_story}, {lead_actor} navigates love's chaos at a luxury resort{support_str}. {extras_str} Mishaps like mistaken identities and beachside confessions spark hilarity. Key scenes: Awkward speed-dating fiasco, midnight dance mix-up, heartfelt airport dash. Arc: Commitment-phobe to forever optimist."
-    
-    return f"**SYNOPSIS:** {plot}\n\n**Why It Works:** High-stakes{ ' + emotional depth' if 'rom' in story_type else ''}, perfect for {rating} crowds. Budget: $150M. Greenlight now!\n**Key scenes:** {plot.split('Key scenes:')[1] if 'Key scenes:' in plot else 'Epic showdown.'}"
-
-def generate_movie_pitch(selected_actors=None):
-    """Pitch (unchanged)"""
-    if not selected_actors:
-        selected_actors = random.sample(TOP_ACTORS, 3)
-    
-    genres = list(MOVIE_TEMPLATES.keys())
-    selected_genre = random.choice(genres)
-    template = MOVIE_TEMPLATES[selected_genre]
-    
-    lead = selected_actors[0]
-    supports = selected_actors[1:]
-    rating = random.choice(MPAA_RATINGS)
-    
-    logline = random.choice(template['examples'])
-    franchise_potential = '🟢 HIGH' if random.random() > 0.5 else '🟡 MEDIUM'
-    
-    trailer_prompt = f"{logline} - cinematic trailer shot with dramatic music."
-    
-    pitch = f"""
-🎬 **GREENLIGHT PITCH DECK** 🎬
-
-**GENRE:** {template['title']} | **RATING:** {rating}
-**LOGLINE:** {logline} — Starring {lead} as the unbreakable hero, with {', '.join(supports)} lighting up the ensemble.
-
-**BUDGET:** ${random.randint(80,250)}M
-**TIMELINE:** {random.randint(18,36)} months to cameras
-**TARGET AUDIENCE:** {random.randint(13,35)}+ thrill-seekers/romantics
-**FRANCHISE POTENTIAL:** {franchise_potential}
-**HOOK:** Explosive opener + twisty mid-act + unforgettable finale. Dir. rec: Taika Waititi for {selected_genre}.
-
-**QUICK CAST NOTES:**
-• {lead}: Lead (raw charisma + action chops)
-• {supports[0] if supports else 'TBD'}: Comic relief/foil
-• {supports[1] if len(supports) > 1 else 'TBD'}: Emotional anchor
-
-🟢 **READY FOR DEVELOPMENT?** This one's a box-office beast!
-**Trailer Prompt:** {trailer_prompt}
+.audit-badge{background:linear-gradient(45deg,#667eea,#764ba2);color:#fff;
+    padding:8px 16px;border-radius:20px;font-weight:bold;}
+.builder-badge{background:linear-gradient(45deg,#FFD700,#FF6B00);color:#1A535C;
+    padding:8px 16px;border-radius:20px;font-weight:bold;}
+"""
+
+# Oracle
+class PiForgeQualiaOracle:
+    def get_qualia_score(self, txt: str) -> int:
+        if not txt: return 500
+        txt = txt.lower(); score = 500
+        boosts = {"community":80,"inclusion":90,"transparent":85,"fair":80,
+                  "privacy":75,"education":75,"help":70,"empower":85,
+                  "decentralized":65,"open":70,"accessible":75}
+        for w,b in boosts.items():
+            if w in txt: score += b
+        score += min(200, len(txt)//2)
+        return min(1000, max(0, score))
+qualia_oracle = PiForgeQualiaOracle()
+
+# Core
+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)
+def resonance_narrative(r):
+    if r>=800: return "Resonance blooms: Sovereign sway achieved"
+    if r>=650: return "Synthesis stirs: Tender truth tempers the tide"
+    if r>=500: return "Echo invites: A gentle balance"
+    return "Refine the reactive, reflect the reflection"
+
+def plot_triad(v,q,r):
+    labels = ['Veracity','Qualia','Resonance']
+    scores = [v/1000,q/1000,r/1000]
+    angles = np.linspace(0,2*np.pi,len(labels),endpoint=False).tolist()
+    scores += scores[:1]; angles += angles[:1]
+    fig,ax = plt.subplots(figsize=(6,6),subplot_kw=dict(polar=True))
+    ax.plot(angles,scores,color='magenta',lw=2)
+    ax.fill(angles,scores,color='cyan',alpha=.25)
+    ax.set_xticks(angles[:-1]); ax.set_xticklabels(labels); ax.set_yticklabels([])
+    ax.set_facecolor('#1a1a1a'); fig.patch.set_facecolor('#1a1a1a')
+    plt.title('Ethical Triad Harmony',size=14,color='white',y=1.1)
+    return fig
+
+# Audit Functions
+def simple_ethics_check(name,desc,impact):
+    if not desc: return 0,"Please describe your project","Waiting..."
+    q = qualia_oracle.get_qualia_score(impact+" "+desc)
+    eff = min(800, len(desc)*2+400)
+    res = velvet_verdict(eff,q)
+    if res>=850: v,conf = "EXCELLENT!",f"{res}/1000 - Community-ready!"
+    elif res>=700: v,conf = "VERY GOOD",f"{res}/1000 - Solid"
+    elif res>=550: v,conf = "GOOD",f"{res}/1000 - Refine"
+    else: v,conf = "NEEDS WORK",f"{res}/1000 - Rethink"
+    return res, v, conf
+
+def traverse_triad(reactive, impact_txt):
+    reac = int(reactive)
+    qual = qualia_oracle.get_qualia_score(impact_txt)
+    res  = velvet_verdict(reac, qual)
+    return (f"Reactive: {reac}/1000",
+            f"Qualia: {qual}/1000",
+            f"Resonance: {res}/1000",
+            resonance_narrative(res),
+            plot_triad(reac,qual,res))
+
+# App Builder
+class PiForgeAppBuilder:
+    def generate_testnet_app(self,idea,typ,feats):
+        base = 5
+        boosts = {"community_governance":3,"pi_rewards":2}
+        total = base + sum(boosts.get(f,0) for f in feats)
+        return {"boost":min(15,total),
+                "id":f"testnet_{hashlib.sha256(f'{idea}{datetime.now()}'.encode()).hexdigest()[:12]}"}
+app_builder = PiForgeAppBuilder()
+
+def build_testnet_app(idea,typ,feats):
+    if not idea: return "Enter idea","","0","",""
+    data = app_builder.generate_testnet_app(idea,typ,feats)
+    eth  = qualia_oracle.get_qualia_score(f"{idea} with {feats}")
+    bp = f"""
+    Testnet App Blueprint
+    Ethical Score: {eth}/1000
+    Mining Boost: +{data['boost']}%
+    App ID: {data['id']}
     """
-    return pitch, trailer_prompt
-
-def generate_video_trailer(prompt: str, duration: int = 5) -> str:
-    """Generate video trailer using Runway ML API"""
-    if not RUNWAY_API_KEY:
-        # Fallback: Placeholder video URL (e.g., stock trailer)
-        return "https://example.com/placeholder-trailer.mp4", "No Runway key—using demo clip. Add RUNWAY_API_KEY for real gen!"
-    
-    headers = {
-        'Authorization': f'Bearer {RUNWAY_API_KEY}',
-        'Content-Type': 'application/json'
-    }
-    base_url = 'https://api.runwayml.com/v1'
-    
-    # Create task (text-to-video params based on Runway docs)
-    create_data = {
-        "model": "gen3a_turbo",  # Latest text-to-video model (2025)
-        "text_prompt": prompt + " | Cinematic trailer style, dramatic lighting, high-energy action, epic music swell.",
-        "seconds": duration,
-        "aspect_ratio": "16:9",
-        "turbo": True,  # Faster gen
-        "explore_mode": True  # More creative
-    }
-    
-    try:
-        # Start task
-        create_resp = requests.post(f"{base_url}/text_to_video", headers=headers, json=create_data, timeout=30)
-        create_resp.raise_for_status()
-        task_data = create_resp.json()
-        task_id = task_data.get('id') or task_data.get('task_id')
-        if not task_id:
-            raise ValueError("No task ID in response")
-        
-        # Poll for completion (every 10s, up to 5 min)
-        status = "processing"
-        for _ in range(30):  # ~5 min max
-            time.sleep(10)
-            status_resp = requests.get(f"{base_url}/tasks/{task_id}", headers=headers, timeout=10)
-            status_resp.raise_for_status()
-            status_data = status_resp.json()
-            status = status_data.get('status')
-            
-            if status == 'succeeded':
-                # Extract video URL
-                output = status_data.get('output', {})
-                video_url = output.get('video_url') or output.get('assets', [{}])[0].get('url')
-                if video_url:
-                    return video_url, f"✅ Trailer generated! ({duration}s clip)"
-                else:
-                    raise ValueError("No video URL in output")
-            elif status == 'failed':
-                error_msg = status_data.get('error', 'Unknown error')
-                raise Exception(f"Generation failed: {error_msg}")
-        
-        raise TimeoutError("Generation timed out after 5 min")
-        
-    except Exception as e:
-        return None, f"❌ Error: {str(e)}. Check key/credits. Fallback: Imagine epic footage here! 🎞️"
-
-# Polished Interface (v3 with Video Tab)
-with gr.Blocks(title="IdeaForge Studio v3", theme=gr.themes.Base(primary_hue="amber")) as demo:
-    
-    gr.Markdown("""
-    # 🎬 **IdeaForge Studio v3** 
-    ### AI Blockbusters: Stories, Pitches & Now VIDEO TRAILERS!
-    *xAI for text + Runway ML for clips | Oct 2025 Edition.*
-    """)
-    
-    # Status Row (added Runway test)
-    with gr.Row():
-        with gr.Column(scale=1):
-            xai_btn = gr.Button("📡 Test xAI", variant="secondary")
-            runway_btn = gr.Button("🎞️ Test Runway", variant="secondary")
-        with gr.Column(scale=4):
-            xai_msg = gr.Textbox(label="xAI Log", show_label=False, lines=1)
-            xai_icon = gr.Textbox(label="xAI Status", show_label=False, max_lines=1)
-            runway_msg = gr.Textbox(label="Runway Log", show_label=False, lines=1)
-            runway_icon = gr.Textbox(label="Runway Status", show_label=False, max_lines=1)
-    
-    # Story Tab (updated to return prompt for trailer)
-    with gr.Tab("🎞️ Sequel Forge"):
-        gr.Markdown("### Craft Epic Sequels with Custom Cast")
-        
-        with gr.Row():
-            with gr.Column(scale=1):
-                original_input = gr.Textbox(
-                    label="Original Movie Logline",
-                    placeholder="e.g., Conan slays Thulsa Doom in barbaric revenge...",
-                    lines=2
-                )
-                sequel_input = gr.Textbox(
-                    label="Sequel Kickoff",
-                    placeholder="e.g., As King, Conan battles an ice demon's curse...",
-                    lines=2
-                )
-                story_type_dropdown = gr.Dropdown(
-                    choices=list(MOVIE_TEMPLATES.keys()),
-                    value="epic_fantasy",
-                    label="Genre Vibes"
-                )
-                extras_input = gr.Textbox(
-                    label="Add Twists/Elements",
-                    placeholder="e.g., time-travel betrayal, zombie allies",
-                    lines=1
-                )
-                actor_select = gr.CheckboxGroup(
-                    choices=TOP_ACTORS,
-                    label="Cast Your Stars (pick 1-3)",
-                    value=[TOP_ACTORS[0]],
-                    interactive=True
-                )
-                
-            with gr.Column(scale=1):
-                gr.Markdown("### Quick Load")
-                gr.Button("🗡️ Conan Classic").click(
-                    lambda: ([
-                        "Conan the Barbarian seeks revenge against Thulsa Doom for destroying his village",
-                        "Years later, King Conan faces an ancient ice demon awakening in the frozen north",
-                        "epic_fantasy",
-                        "magical artifacts, betrayal by advisor",
-                        ["Dwayne Johnson", "Pedro Pascal"]
-                    ]),
-                    outputs=[original_input, sequel_input, story_type_dropdown, extras_input, actor_select]
-                )
-                gr.Button("🚀 Star Wars Vibes").click(
-                    lambda: ([
-                        "A farm boy joins rebels to destroy the Death Star",
-                        "Post-victory, the hero uncovers a Sith family secret",
-                        "sci_fi_adventure",
-                        "force ghost mentors, twin reveal",
-                        ["Tom Holland", "Joseph Quinn"]
-                    ]),
-                    outputs=[original_input, sequel_input, story_type_dropdown, extras_input, actor_select]
-                )
-        
-        generate_btn = gr.Button("🎬 Generate Full Sequel!", variant="primary", size="lg")
-        story_output = gr.Markdown(label="Your Blockbuster Bible")
-        trailer_prompt_hidden = gr.Textbox(visible=False)  # Hidden for chaining
-        
-        generate_btn.click(
-            generate_cinematic_story,
-            inputs=[original_input, sequel_input, actor_select, extras_input, story_type_dropdown],
-            outputs=[story_output, trailer_prompt_hidden]
-        )
-    
-    # Pitch Tab (updated to return prompt)
-    with gr.Tab("💡 Pitch Roulette"):
-        gr.Markdown("### Instant Greenlight Concepts")
-        
-        with gr.Row():
-            pitch_actor_select = gr.CheckboxGroup(
-                choices=TOP_ACTORS,
-                label="Dream Cast (optional)",
-                value=[],
-                interactive=True
-            )
-            gr.Button("🎲 Roll Random Cast", variant="secondary").click(
-                lambda: random.sample(TOP_ACTORS, random.randint(1,3)),
-                outputs=pitch_actor_select
-            )
-        
-        pitch_btn = gr.Button("✨ Generate Pitch Deck!", variant="primary")
-        pitch_output = gr.Markdown(label="Hot Pitch")
-        pitch_prompt_hidden = gr.Textbox(visible=False)
-        
-        pitch_btn.click(generate_movie_pitch, inputs=[pitch_actor_select], outputs=[pitch_output, pitch_prompt_hidden])
-    
-    # NEW: Video Trailer Tab
-    with gr.Tab("🎥 Trailer Forge"):
-        gr.Markdown("### AI-Generated Video Trailers via Runway ML")
-        gr.Markdown("*Paste a story prompt below—watch it come alive! ~2-5 min gen time.*")
-        
-        trailer_prompt_input = gr.Textbox(
-            label="Trailer Prompt",
-            placeholder="e.g., King Conan battles ice demons in frozen wastelands, epic sword fight...",
-            lines=3,
-            value="Cinematic fantasy battle in snowy mountains"
-        )
-        duration_slider = gr.Slider(5, 10, value=5, step=1, label="Clip Length (seconds)")
-        gen_video_btn = gr.Button("🚀 Generate Trailer!", variant="primary")
-        
-        video_output = gr.Video(label="Your AI Trailer", show_download_button=True)
-        video_status = gr.Textbox(label="Status", show_label=False, lines=1)
-        
-        # Chain from other tabs? Optional examples
-        gr.Examples(
-            examples=[
-                ["Epic space battle with starships exploding in nebula clouds"],
-                ["Romantic comedy meet-cute in rainy Paris streets, slow-motion smiles"],
-                ["Horror chase through haunted mansion, flickering lights and shadows"]
-            ],
-            inputs=trailer_prompt_input
-        )
-        
-        gen_video_btn.click(
-            generate_video_trailer,
-            inputs=[trailer_prompt_input, duration_slider],
-            outputs=[video_output, video_status]
-        )
-    
-    # Connections
-    xai_btn.click(test_connection, outputs=[xai_msg, xai_icon])
-    runway_btn.click(test_runway_connection, outputs=[runway_msg, runway_icon])
-
-if __name__ == "__main__":
-    demo.launch(share=True)
+    return "Generated!",bp,data['boost'],data['id']
+
+# UI
+with gr.Blocks(theme=gr.themes.Soft(primary_hue="violet"), css=PIFORGE_CSS) as demo:
+    gr.HTML("""
+    <div class="piforge-premium-header">
+        <h1>π PiForge Dual-Platform</h1>
+        <h3>Ethical Audit + AI App Builder</h3>
+        <p><span class='audit-badge'>AUDIT</span> <span class='builder-badge'>BUILD</span></p>
+    </div>""")
+
+    with gr.Tabs():
+        with gr.Tab("Ethical Audit"):
+            with gr.Tab("Simple"):
+                with gr.Row():
+                    with gr.Column():
+                        p_name = gr.Textbox("Community Marketplace", label="Project Name")
+                        desc = gr.Textbox(lines=3, label="Description")
+                        impact = gr.Textbox(lines=2, label="Impact")
+                        btn = gr.Button("Run Audit", variant="primary")
+                    with gr.Column():
+                        score = gr.Number(label="Score")
+                        verd = gr.Textbox(lines=2, label="Verdict")
+                        anal = gr.Textbox(lines=3, label="Analysis")
+                btn.click(simple_ethics_check, [p_name,desc,impact], [score,verd,anal])
+
+            with gr.Tab("Expert"):
+                with gr.Row():
+                    with gr.Column():
+                        reactive = gr.Slider(0,1000,700,label="Reactive")
+                        impact_t = gr.Textbox(lines=3,label="Impact")
+                        exp_btn = gr.Button("Traverse",variant="primary")
+                    with gr.Column():
+                        v_out = gr.Textbox(label="Reactive")
+                        q_out = gr.Textbox(label="Qualia")
+                        r_out = gr.Textbox(label="Resonance")
+                        nar = gr.Textbox(label="Narrative")
+                        plot = gr.Plot()
+                exp_btn.click(traverse_triad,[reactive,impact_t],[v_out,q_out,r_out,nar,plot])
+
+        with gr.Tab("AI App Builder"):
+            with gr.Row():
+                with gr.Column():
+                    idea = gr.Textbox(lines=3,label="App Idea")
+                    typ = gr.Dropdown(["marketplace","education","gaming"],label="Type")
+                    feats = gr.CheckboxGroup(["community_governance","pi_rewards"],label="Features")
+                    bbtn = gr.Button("Build",variant="primary")
+                with gr.Column():
+                    status = gr.Textbox(label="Status")
+                    bp = gr.Textbox(lines=6,label="Blueprint")
+                    boost = gr.Number(label="Boost %")
+                    aid = gr.Textbox(label="App ID")
+            bbtn.click(build_testnet_app,[idea,typ,feats],[status,bp,boost,aid])
+
+demo.launch()