Add Gradio Space: HuggingFace-ready chess demo with cascade-lattice

README.md

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+---
+title: Cascade Lattice Chess
+emoji: ♟️
+colorFrom: cyan
+colorTo: purple
+sdk: gradio
+sdk_version: 4.44.0
+app_file: app.py
+pinned: false
+license: mit
+tags:
+  - chess
+  - ai
+  - human-in-the-loop
+  - cascade-lattice
+  - provenance
+  - merkle
+  - explainable-ai
+---
+
+# ♟️ CASCADE LATTICE CHESS // SUPER SAIYAN MODE
+
+**Human-in-the-loop chess with cryptographic provenance via cascade-lattice**
+
+## What is this?
+
+This is a chess demo showcasing the [cascade-lattice](https://pypi.org/project/cascade-lattice/) package - a universal AI provenance layer that provides cryptographic receipts for every AI decision.
+
+### Features
+
+🧠 **Neural Chess Engine** - Powered by [Maxlegrec/ChessBot](https://huggingface.co/Maxlegrec/ChessBot), a Transformer-based model trained on 750M positions
+
+⏸️ **HOLD System** - The AI halts before every move, showing you its top candidates with confidence scores
+
+🔮 **Cascade Predictions** - "Minority Report" style forecasting of move consequences before they happen
+
+🔗 **Merkle Chain** - Every decision is cryptographically hashed into a provenance chain
+
+📊 **Real-time Analytics** - Track override rates, combos, and decision patterns
+
+### How to Play
+
+1. **Click** on a candidate move to drill down into its analysis
+2. **Review** the AI's reasoning, confidence, and cascade predictions
+3. **Execute** to accept the move, or select a different candidate to override
+4. **Track** your decisions through the Merkle chain tab
+
+### The CASCADE-LATTICE Package
+
+This demo uses cascade-lattice to:
+- Register every game event in a **CausationGraph**
+- Generate **Merkle roots** for cryptographic provenance
+- Track **session statistics** (holds, overrides, combos)
+- Predict **cascade effects** of each move
+
+Install it yourself: `pip install cascade-lattice`
+
+---
+
+*Built with ❤️ using Gradio, PyTorch, and cascade-lattice*

app.py

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+"""
+CASCADE LATTICE CHESS // SUPER SAIYAN MODE
+Gradio Space Demo - HuggingFace Spaces Compatible
+
+Human-in-the-loop chess with cryptographic provenance via cascade-lattice
+"""
+
+import gradio as gr
+import chess
+import chess.engine
+import os
+import sys
+import random
+import time
+import math
+import hashlib
+import numpy as np
+from PIL import Image, ImageDraw, ImageFont
+from collections import deque
+from dataclasses import dataclass, field
+from typing import List, Dict, Any, Optional, Tuple
+import threading
+
+# Conditional imports for HF Spaces
+try:
+    import torch
+    from transformers import AutoModel
+    TORCH_AVAILABLE = True
+except ImportError:
+    TORCH_AVAILABLE = False
+    print("[WARN] PyTorch not available - using random moves")
+
+try:
+    import cascade
+    CASCADE_AVAILABLE = True
+except ImportError:
+    CASCADE_AVAILABLE = False
+    print("[WARN] cascade-lattice not available - using mock")
+
+# ═══════════════════════════════════════════════════════════════════════════════
+# CONFIGURATION
+# ═══════════════════════════════════════════════════════════════════════════════
+
+MODEL_NAME = "Maxlegrec/ChessBot"
+BOARD_SIZE = 480  # Smaller for web
+PANEL_WIDTH = 520
+TOTAL_WIDTH = BOARD_SIZE + PANEL_WIDTH
+TOTAL_HEIGHT = 600
+SQUARE_SIZE = BOARD_SIZE // 8
+
+# Stockfish path - check multiple locations
+STOCKFISH_PATHS = [
+    "/usr/games/stockfish",  # Linux apt install
+    "/usr/bin/stockfish",
+    "stockfish",  # PATH
+    os.path.join("stockfish", "stockfish-windows-x86-64-avx2.exe"),  # Windows local
+]
+
+def find_stockfish():
+    for path in STOCKFISH_PATHS:
+        if os.path.exists(path):
+            return path
+        # Try as command
+        try:
+            result = os.popen(f"which {path} 2>/dev/null || where {path} 2>nul").read().strip()
+            if result:
+                return result
+        except:
+            pass
+    return None
+
+STOCKFISH_PATH = find_stockfish()
+print(f"[CONFIG] Stockfish: {STOCKFISH_PATH or 'NOT FOUND'}")
+
+# Colors
+COLORS = {
+    'bg_dark': (18, 18, 22),
+    'bg_panel': (25, 25, 30),
+    'bg_card': (35, 35, 45),
+    'bg_card_hover': (50, 55, 70),
+    'board_light': (235, 236, 208),
+    'board_dark': (119, 149, 86),
+    'accent_cyan': (0, 200, 255),
+    'accent_green': (0, 255, 150),
+    'accent_gold': (255, 215, 0),
+    'accent_red': (255, 70, 70),
+    'accent_purple': (180, 100, 255),
+    'accent_orange': (255, 150, 50),
+    'text_primary': (255, 255, 255),
+    'text_secondary': (180, 180, 180),
+    'text_muted': (120, 120, 120),
+    'merkle_glow': (100, 255, 218),
+}
+
+# Unicode chess pieces
+PIECE_SYMBOLS = {
+    'P': '♙', 'N': '♘', 'B': '♗', 'R': '♖', 'Q': '♕', 'K': '♔',
+    'p': '♟', 'n': '♞', 'b': '♝', 'r': '♜', 'q': '♛', 'k': '♚',
+}
+
+# ═══════════════════════════════════════════════════════════════════════════════
+# CASCADE MOCK (for when cascade-lattice isn't available)
+# ═══════════════════════════════════════════════════════════════════════════════
+
+class MockHold:
+    _instance = None
+    def __init__(self):
+        self.timeout = 3600
+        self.listeners = []
+        self.stats = {'total_holds': 0, 'overrides': 0}
+    
+    @classmethod
+    def get(cls):
+        if cls._instance is None:
+            cls._instance = MockHold()
+        return cls._instance
+    
+    def register_listener(self, fn):
+        self.listeners.append(fn)
+    
+    def resolve(self, action=None):
+        pass
+
+class MockCausationGraph:
+    def __init__(self):
+        self.events = []
+        self.links = []
+    def add_event(self, e): self.events.append(e)
+    def add_link(self, l): self.links.append(l)
+    def get_stats(self): return {'events': len(self.events), 'links': len(self.links)}
+
+class MockMetricsEngine:
+    def __init__(self): self.metrics = {}
+    def ingest(self, e): pass
+    def summary(self): return {}
+
+class MockEvent:
+    def __init__(self, **kwargs):
+        for k, v in kwargs.items():
+            setattr(self, k, v)
+
+class MockCausationLink:
+    def __init__(self, **kwargs):
+        for k, v in kwargs.items():
+            setattr(self, k, v)
+
+# Use real or mock
+if CASCADE_AVAILABLE:
+    CascadeHold = cascade.Hold
+    CausationGraph = cascade.CausationGraph
+    MetricsEngine = cascade.MetricsEngine
+    CascadeEvent = cascade.Event
+    CausationLink = cascade.CausationLink
+    cascade.init()
+else:
+    CascadeHold = MockHold
+    CausationGraph = MockCausationGraph
+    MetricsEngine = MockMetricsEngine
+    CascadeEvent = MockEvent
+    CausationLink = MockCausationLink
+
+# ═══════════════════════════════════════════════════════════════════════════════
+# DATA CLASSES
+# ═══════════════════════════════════════════════════════════════════════════════
+
+@dataclass
+class CausalNode:
+    event_id: str
+    move: str
+    player: str
+    fen: str
+    timestamp: float
+    merkle: str
+    value: float
+    was_override: bool = False
+    depth: int = 0
+
+@dataclass
+class PredictionRisk:
+    move: str
+    risk_score: float
+    predicted_responses: List[str]
+    material_delta: int
+    positional_delta: float
+    tactical_threats: List[str]
+
+@dataclass
+class SessionStats:
+    total_holds: int = 0
+    human_overrides: int = 0
+    ai_accepted: int = 0
+    current_combo: int = 0
+    max_combo: int = 0
+    override_rate: float = 0.0
+
+# ═══════════════════════════════════════════════════════════════════════════════
+# GAME STATE CLASS
+# ═══════════════════════════════════════════════════════════════════════════════
+
+class ChessGameState:
+    """Manages all game state for the Gradio interface"""
+    
+    def __init__(self):
+        self.reset_game()
+        
+        # Cascade systems
+        self.causation_graph = CausationGraph()
+        self.metrics_engine = MetricsEngine()
+        self.causal_chain: List[CausalNode] = []
+        self.merkle_chain: List[str] = []
+        self.last_event_id = None
+        
+        # AI Model
+        self.model = None
+        self.device = "cpu"
+        self._load_model()
+        
+        # Stockfish
+        self.engine = None
+        self._init_engine()
+    
+    def reset_game(self):
+        """Reset to new game"""
+        self.board = chess.Board()
+        self.move_history = []
+        self.session = SessionStats()
+        self.candidates = []
+        self.predictions = []
+        self.selected_idx = 0
+        self.hovered_idx = -1
+        self.ui_mode = "LIST"  # LIST, DRILL
+        self.active_tab = "WEALTH"
+        self.game_over = False
+        self.game_result = ""
+        self.hold_active = False
+        self.current_merkle = ""
+        self.value_history = []
+        self.last_observation = {}
+    
+    def _load_model(self):
+        """Load the ChessBot model"""
+        if not TORCH_AVAILABLE:
+            print("[MODEL] PyTorch not available, using random moves")
+            return
+        
+        try:
+            print(f"[MODEL] Loading {MODEL_NAME}...")
+            self.model = AutoModel.from_pretrained(MODEL_NAME, trust_remote_code=True)
+            self.device = "cuda" if torch.cuda.is_available() else "cpu"
+            self.model.to(self.device)
+            self.model.eval()
+            print(f"[MODEL] Loaded on {self.device}")
+        except Exception as e:
+            print(f"[MODEL] Failed to load: {e}")
+            self.model = None
+    
+    def _init_engine(self):
+        """Initialize Stockfish engine"""
+        if STOCKFISH_PATH:
+            try:
+                self.engine = chess.engine.SimpleEngine.popen_uci(STOCKFISH_PATH)
+                print("[ENGINE] Stockfish ready")
+            except Exception as e:
+                print(f"[ENGINE] Failed: {e}")
+                self.engine = None
+        else:
+            print("[ENGINE] Stockfish not found")
+    
+    def _compute_merkle(self, data: Dict) -> str:
+        content = str(sorted(data.items())).encode()
+        return hashlib.sha256(content).hexdigest()[:16]
+    
+    def register_event(self, event_data: Dict) -> str:
+        """Register event in causation graph"""
+        event_id = f"evt_{len(self.causal_chain)}_{int(time.time()*1000)}"
+        
+        if CASCADE_AVAILABLE:
+            event = CascadeEvent(
+                event_id=event_id,
+                timestamp=time.time(),
+                component=event_data.get('player', 'chess'),
+                event_type=event_data.get('type', 'move'),
+                data=event_data
+            )
+            self.causation_graph.add_event(event)
+            
+            if self.last_event_id and self.causal_chain:
+                link = CausationLink(
+                    from_event=self.last_event_id,
+                    to_event=event_id,
+                    causation_type="game_sequence",
+                    strength=1.0,
+                    explanation=f"Move sequence"
+                )
+                self.causation_graph.add_link(link)
+        
+        # Create causal node
+        node = CausalNode(
+            event_id=event_id,
+            move=event_data.get('move', ''),
+            player=event_data.get('player', ''),
+            fen=event_data.get('fen', ''),
+            timestamp=time.time(),
+            merkle=self._compute_merkle(event_data),
+            value=event_data.get('value', 0.0),
+            was_override=event_data.get('was_override', False),
+            depth=len(self.causal_chain)
+        )
+        
+        self.causal_chain.append(node)
+        self.merkle_chain.append(node.merkle)
+        self.last_event_id = event_id
+        
+        return event_id
+    
+    def get_ai_move(self) -> Tuple[str, List[Dict], float]:
+        """Get AI's move recommendation with candidates"""
+        fen = self.board.fen()
+        legal_moves = [m.uci() for m in self.board.legal_moves]
+        
+        if not legal_moves:
+            return None, [], 0.0
+        
+        # Get model prediction
+        move_uci = None
+        pos_eval = [0.33, 0.34, 0.33]  # Default
+        
+        if self.model is not None:
+            try:
+                with torch.no_grad():
+                    pos_eval = self.model.get_position_value(fen, device=self.device).tolist()
+                    move_uci = self.model.get_move_from_fen_no_thinking(fen, T=0.1, device=self.device)
+            except Exception as e:
+                print(f"[AI] Error: {e}")
+        
+        if move_uci is None or move_uci not in legal_moves:
+            move_uci = random.choice(legal_moves)
+        
+        # Build candidates
+        candidates = []
+        candidates.append({
+            "move": move_uci,
+            "prob": 0.82,
+            "v_head": pos_eval,
+            "reason": "Primary engine recommendation"
+        })
+        
+        others = [m for m in legal_moves if m != move_uci]
+        random.shuffle(others)
+        for i, m in enumerate(others[:4]):
+            v_noise = [v + random.uniform(-0.08, 0.08) for v in pos_eval]
+            candidates.append({
+                "move": m,
+                "prob": max(0.01, 0.15 - i * 0.03),
+                "v_head": v_noise,
+                "reason": "Alternative candidate"
+            })
+        
+        value = pos_eval[2] - pos_eval[0]
+        return move_uci, candidates, value
+    
+    def get_stockfish_move(self) -> str:
+        """Get Stockfish's move"""
+        if self.engine:
+            try:
+                result = self.engine.play(self.board, chess.engine.Limit(time=0.5))
+                return result.move.uci()
+            except:
+                pass
+        return random.choice([m.uci() for m in self.board.legal_moves])
+    
+    def predict_cascade(self, candidates: List[Dict]) -> List[PredictionRisk]:
+        """Generate cascade predictions for candidates"""
+        predictions = []
+        for c in candidates:
+            try:
+                move = chess.Move.from_uci(c['move'])
+                temp = self.board.copy()
+                
+                # Material before/after
+                mat_before = self._count_material(temp)
+                temp.push(move)
+                mat_after = self._count_material(temp)
+                
+                # Opponent responses
+                responses = [m.uci() for m in list(temp.legal_moves)[:3]]
+                
+                # Threats
+                threats = []
+                if temp.is_check():
+                    threats.append("CHECK")
+                
+                # Risk score
+                risk = (1 - c['prob']) * 0.5 + len(threats) * 0.1
+                
+                predictions.append(PredictionRisk(
+                    move=c['move'],
+                    risk_score=min(1.0, risk),
+                    predicted_responses=responses,
+                    material_delta=mat_after - mat_before,
+                    positional_delta=c['v_head'][2] - c['v_head'][0],
+                    tactical_threats=threats
+                ))
+            except:
+                pass
+        return predictions
+    
+    def _count_material(self, board) -> int:
+        values = {chess.PAWN: 1, chess.KNIGHT: 3, chess.BISHOP: 3, 
+                  chess.ROOK: 5, chess.QUEEN: 9}
+        score = 0
+        for sq in chess.SQUARES:
+            piece = board.piece_at(sq)
+            if piece and piece.piece_type in values:
+                val = values[piece.piece_type]
+                score += val if piece.color == chess.WHITE else -val
+        return score
+    
+    def make_move(self, move_uci: str, player: str, was_override: bool = False):
+        """Execute a move on the board"""
+        try:
+            move = chess.Move.from_uci(move_uci)
+            if move in self.board.legal_moves:
+                self.board.push(move)
+                
+                # Get evaluation
+                value = 0.0
+                if self.model:
+                    try:
+                        with torch.no_grad():
+                            ev = self.model.get_position_value(self.board.fen(), device=self.device)
+                            value = float(ev[2] - ev[0])
+                            self.value_history.append(value)
+                    except:
+                        pass
+                
+                self.move_history.append({
+                    'move': move_uci,
+                    'player': player,
+                    'was_override': was_override
+                })
+                
+                # Register in causation graph
+                self.register_event({
+                    'type': 'move',
+                    'move': move_uci,
+                    'player': player,
+                    'fen': self.board.fen(),
+                    'value': value,
+                    'was_override': was_override
+                })
+                
+                # Update session stats
+                if was_override:
+                    self.session.human_overrides += 1
+                    self.session.current_combo = 0
+                else:
+                    self.session.ai_accepted += 1
+                    self.session.current_combo += 1
+                    self.session.max_combo = max(self.session.max_combo, self.session.current_combo)
+                
+                self.session.total_holds += 1
+                if self.session.total_holds > 0:
+                    self.session.override_rate = self.session.human_overrides / self.session.total_holds
+                
+                # Check game over
+                if self.board.is_game_over():
+                    self.game_over = True
+                    result = self.board.result()
+                    if result == "1-0":
+                        self.game_result = "WHITE WINS (ChessBot)"
+                    elif result == "0-1":
+                        self.game_result = "BLACK WINS (Stockfish)"
+                    else:
+                        self.game_result = f"DRAW ({result})"
+                
+                return True
+        except Exception as e:
+            print(f"[MOVE] Error: {e}")
+        return False
+
+# ═══════════════════════════════════════════════════════════════════════════════
+# RENDERING
+# ═══════════════════════════════════════════════════════════════════════════════
+
+def render_game(state: ChessGameState) -> Image.Image:
+    """Render the complete game view"""
+    img = Image.new('RGB', (TOTAL_WIDTH, TOTAL_HEIGHT), COLORS['bg_dark'])
+    draw = ImageDraw.Draw(img)
+    
+    # Try to load fonts
+    try:
+        font = ImageFont.truetype("arial.ttf", 14)
+        font_small = ImageFont.truetype("arial.ttf", 11)
+        font_large = ImageFont.truetype("seguisym.ttf", 36)
+        font_title = ImageFont.truetype("arial.ttf", 18)
+    except:
+        font = ImageFont.load_default()
+        font_small = font
+        font_large = font
+        font_title = font
+    
+    # Draw board
+    _draw_board(img, draw, state, font_large)
+    
+    # Draw panel
+    _draw_panel(img, draw, state, font, font_small, font_title)
+    
+    return img
+
+def _draw_board(img: Image.Image, draw: ImageDraw.Draw, state: ChessGameState, font_large):
+    """Draw the chess board"""
+    for r in range(8):
+        for c in range(8):
+            x = c * SQUARE_SIZE
+            y = r * SQUARE_SIZE
+            
+            color = COLORS['board_light'] if (r + c) % 2 == 0 else COLORS['board_dark']
+            draw.rectangle([x, y, x + SQUARE_SIZE, y + SQUARE_SIZE], fill=color)
+            
+            # Draw piece
+            sq = chess.square(c, 7 - r)
+            piece = state.board.piece_at(sq)
+            if piece:
+                symbol = piece.symbol()
+                if symbol in PIECE_SYMBOLS:
+                    piece_char = PIECE_SYMBOLS[symbol]
+                    # Center the piece
+                    try:
+                        bbox = font_large.getbbox(piece_char)
+                        tw, th = bbox[2] - bbox[0], bbox[3] - bbox[1]
+                    except:
+                        tw, th = 30, 30
+                    px = x + (SQUARE_SIZE - tw) // 2
+                    py = y + (SQUARE_SIZE - th) // 2
+                    
+                    # Draw with shadow
+                    p_color = (255, 255, 255) if piece.color == chess.WHITE else (30, 30, 30)
+                    shadow_color = (0, 0, 0) if piece.color == chess.WHITE else (200, 200, 200)
+                    draw.text((px + 1, py + 1), piece_char, fill=shadow_color, font=font_large)
+                    draw.text((px, py), piece_char, fill=p_color, font=font_large)
+    
+    # Draw selected move arrow if in drill mode
+    if state.ui_mode == "DRILL" and state.candidates and state.selected_idx < len(state.candidates):
+        move_uci = state.candidates[state.selected_idx]['move']
+        try:
+            move = chess.Move.from_uci(move_uci)
+            _draw_arrow(draw, move.from_square, move.to_square, COLORS['accent_gold'], width=6)
+        except:
+            pass
+
+def _draw_arrow(draw: ImageDraw.Draw, from_sq: int, to_sq: int, color: Tuple, width: int = 4):
+    """Draw an arrow between squares"""
+    fc, fr = chess.square_file(from_sq), 7 - chess.square_rank(from_sq)
+    tc, tr = chess.square_file(to_sq), 7 - chess.square_rank(to_sq)
+    
+    x1 = fc * SQUARE_SIZE + SQUARE_SIZE // 2
+    y1 = fr * SQUARE_SIZE + SQUARE_SIZE // 2
+    x2 = tc * SQUARE_SIZE + SQUARE_SIZE // 2
+    y2 = tr * SQUARE_SIZE + SQUARE_SIZE // 2
+    
+    draw.line([(x1, y1), (x2, y2)], fill=color, width=width)
+    
+    # Arrowhead
+    angle = math.atan2(y1 - y2, x1 - x2)
+    arr_len = 15
+    p1 = (x2 + arr_len * math.cos(angle + 0.5), y2 + arr_len * math.sin(angle + 0.5))
+    p2 = (x2 + arr_len * math.cos(angle - 0.5), y2 + arr_len * math.sin(angle - 0.5))
+    draw.polygon([(x2, y2), p1, p2], fill=color)
+
+def _draw_panel(img: Image.Image, draw: ImageDraw.Draw, state: ChessGameState, 
+                font, font_small, font_title):
+    """Draw the side panel"""
+    px = BOARD_SIZE + 10
+    py = 10
+    pw = PANEL_WIDTH - 20
+    
+    # Panel background
+    draw.rectangle([BOARD_SIZE, 0, TOTAL_WIDTH, TOTAL_HEIGHT], fill=COLORS['bg_panel'])
+    
+    # Title
+    title = "CASCADE LATTICE CHESS"
+    draw.text((px, py), title, fill=COLORS['accent_cyan'], font=font_title)
+    py += 30
+    
+    # Session stats
+    stats_text = f"Holds: {state.session.total_holds} | Combo: {state.session.current_combo} | OR: {state.session.override_rate*100:.0f}%"
+    draw.text((px, py), stats_text, fill=COLORS['text_secondary'], font=font_small)
+    py += 25
+    
+    # Tab bar
+    tabs = ["WEALTH", "CASCADE", "CHAIN"]
+    tab_w = pw // len(tabs)
+    for i, tab in enumerate(tabs):
+        tx = px + i * tab_w
+        is_active = state.active_tab == tab
+        tab_color = COLORS['accent_cyan'] if is_active else COLORS['bg_card']
+        draw.rectangle([tx, py, tx + tab_w - 5, py + 22], fill=tab_color)
+        text_color = COLORS['text_primary'] if is_active else COLORS['text_muted']
+        draw.text((tx + 10, py + 4), tab, fill=text_color, font=font_small)
+    py += 30
+    
+    # Game over banner
+    if state.game_over:
+        draw.rectangle([px, py, px + pw, py + 40], fill=(100, 30, 30))
+        draw.text((px + 10, py + 10), f"GAME OVER: {state.game_result}", 
+                  fill=COLORS['text_primary'], font=font)
+        py += 50
+    
+    # Content based on tab
+    if state.active_tab == "WEALTH":
+        _draw_wealth_tab(draw, state, px, py, pw, font, font_small)
+    elif state.active_tab == "CASCADE":
+        _draw_cascade_tab(draw, state, px, py, pw, font, font_small)
+    elif state.active_tab == "CHAIN":
+        _draw_chain_tab(draw, state, px, py, pw, font, font_small)
+
+def _draw_wealth_tab(draw, state, x, y, w, font, font_small):
+    """Draw the wealth/decision tab"""
+    
+    # Last move info
+    if state.last_observation:
+        ev = state.last_observation.get('evaluation', [0.33, 0.34, 0.33])
+        draw.text((x, y), f"NNUE: W:{ev[2]:.2f} D:{ev[1]:.2f} B:{ev[0]:.2f}", 
+                  fill=COLORS['accent_green'], font=font_small)
+        y += 20
+    
+    if state.hold_active:
+        # Merkle root
+        draw.rectangle([x, y, x + w, y + 30], fill=COLORS['bg_card'])
+        draw.text((x + 5, y + 8), f"MERKLE: {state.current_merkle}", 
+                  fill=COLORS['merkle_glow'], font=font_small)
+        y += 40
+        
+        if state.ui_mode == "LIST":
+            # Candidate list
+            draw.text((x, y), "SELECT MOVE TO ANALYZE:", fill=COLORS['accent_cyan'], font=font)
+            y += 25
+            
+            for i, c in enumerate(state.candidates[:5]):
+                is_hover = i == state.hovered_idx
+                row_color = COLORS['bg_card_hover'] if is_hover else COLORS['bg_card']
+                draw.rectangle([x, y, x + w, y + 35], fill=row_color)
+                
+                # Move and confidence
+                draw.text((x + 5, y + 5), f"#{i+1}", fill=COLORS['text_muted'], font=font_small)
+                draw.text((x + 30, y + 5), c['move'], fill=COLORS['text_primary'], font=font)
+                draw.text((x + 90, y + 5), f"{c['prob']*100:.1f}%", fill=COLORS['accent_green'], font=font)
+                
+                # Value head
+                vh = c.get('v_head', [0.33, 0.34, 0.33])
+                draw.text((x + 150, y + 5), f"W:{vh[2]:.2f}", fill=COLORS['text_secondary'], font=font_small)
+                
+                y += 40
+                
+        elif state.ui_mode == "DRILL" and state.candidates:
+            c = state.candidates[state.selected_idx]
+            
+            draw.text((x, y), f"ANALYZING: {c['move']}", fill=COLORS['accent_gold'], font=font)
+            y += 30
+            
+            # Metrics
+            draw.rectangle([x, y, x + w, y + 80], fill=COLORS['bg_card'])
+            draw.text((x + 10, y + 10), f"Confidence: {c['prob']*100:.2f}%", fill=COLORS['text_primary'], font=font)
+            
+            vh = c.get('v_head', [0.33, 0.34, 0.33])
+            draw.text((x + 10, y + 30), f"White: {vh[2]:.4f}", fill=COLORS['accent_green'], font=font_small)
+            draw.text((x + 100, y + 30), f"Draw: {vh[1]:.4f}", fill=COLORS['accent_orange'], font=font_small)
+            draw.text((x + 190, y + 30), f"Black: {vh[0]:.4f}", fill=COLORS['accent_red'], font=font_small)
+            
+            draw.text((x + 10, y + 55), c.get('reason', ''), fill=COLORS['text_muted'], font=font_small)
+            y += 90
+            
+            # Predictions
+            pred = next((p for p in state.predictions if p.move == c['move']), None)
+            if pred:
+                draw.text((x, y), "CASCADE PREDICTION:", fill=COLORS['accent_purple'], font=font)
+                y += 20
+                draw.text((x + 10, y), f"Risk: {pred.risk_score:.2f}", 
+                          fill=COLORS['accent_red'] if pred.risk_score > 0.5 else COLORS['accent_green'], font=font_small)
+                draw.text((x + 100, y), f"Material: {pred.material_delta:+d}", fill=COLORS['text_secondary'], font=font_small)
+                y += 20
+                if pred.predicted_responses:
+                    draw.text((x + 10, y), f"Response: {pred.predicted_responses[0]}", 
+                              fill=COLORS['prediction_blue'] if 'prediction_blue' in COLORS else COLORS['accent_cyan'], font=font_small)
+    else:
+        draw.text((x, y + 50), "Waiting for AI decision...", fill=COLORS['text_muted'], font=font)
+
+def _draw_cascade_tab(draw, state, x, y, w, font, font_small):
+    """Draw cascade predictions tab"""
+    draw.text((x, y), "CASCADE PREDICTIONS", fill=COLORS['accent_purple'], font=font)
+    y += 25
+    
+    if not state.predictions:
+        draw.text((x, y), "No predictions available", fill=COLORS['text_muted'], font=font_small)
+        return
+    
+    for pred in state.predictions[:5]:
+        draw.rectangle([x, y, x + w, y + 50], fill=COLORS['bg_card'])
+        
+        # Risk color
+        risk_color = COLORS['accent_green'] if pred.risk_score < 0.3 else \
+                     COLORS['accent_orange'] if pred.risk_score < 0.6 else COLORS['accent_red']
+        
+        draw.text((x + 5, y + 5), pred.move, fill=COLORS['text_primary'], font=font)
+        draw.text((x + 60, y + 5), f"Risk: {pred.risk_score:.2f}", fill=risk_color, font=font_small)
+        draw.text((x + 150, y + 5), f"Mat: {pred.material_delta:+d}", fill=COLORS['text_secondary'], font=font_small)
+        
+        if pred.predicted_responses:
+            resp_str = " → ".join(pred.predicted_responses[:2])
+            draw.text((x + 5, y + 28), f"Chain: {resp_str}", fill=COLORS['accent_cyan'], font=font_small)
+        
+        y += 55
+
+def _draw_chain_tab(draw, state, x, y, w, font, font_small):
+    """Draw merkle chain tab"""
+    draw.text((x, y), "MERKLE PROVENANCE CHAIN", fill=COLORS['merkle_glow'], font=font)
+    y += 25
+    
+    if not state.causal_chain:
+        draw.text((x, y), "Chain empty...", fill=COLORS['text_muted'], font=font_small)
+        return
+    
+    for node in state.causal_chain[-8:]:
+        bg_color = COLORS['bg_card_hover'] if node.was_override else COLORS['bg_card']
+        draw.rectangle([x, y, x + w, y + 35], fill=bg_color)
+        
+        draw.text((x + 5, y + 5), f"#{node.depth}", fill=COLORS['text_muted'], font=font_small)
+        draw.text((x + 35, y + 5), node.move or "START", 
+                  fill=COLORS['accent_gold'] if node.was_override else COLORS['text_primary'], font=font)
+        draw.text((x + 90, y + 5), node.merkle[:12], fill=COLORS['merkle_glow'], font=font_small)
+        draw.text((x + 200, y + 5), node.player[:10], fill=COLORS['text_secondary'], font=font_small)
+        
+        y += 40
+
+# ═══════════════════════════════════════════════════════════════════════════════
+# GRADIO INTERFACE
+# ═══════════════════════════════════════════════════════════════════════════════
+
+# Global game state
+game_state = ChessGameState()
+
+def process_click(evt: gr.SelectData, current_image):
+    """Handle clicks on the game image"""
+    global game_state
+    
+    if evt is None:
+        return render_game(game_state), get_status_text()
+    
+    x, y = evt.index
+    
+    # Check if click is in panel area (tabs or candidates)
+    if x > BOARD_SIZE:
+        px = x - BOARD_SIZE - 10
+        py = y
+        
+        # Tab clicks (around y=65-87)
+        if 65 <= py <= 87:
+            tab_w = (PANEL_WIDTH - 20) // 3
+            tab_idx = px // tab_w
+            tabs = ["WEALTH", "CASCADE", "CHAIN"]
+            if 0 <= tab_idx < len(tabs):
+                game_state.active_tab = tabs[tab_idx]
+        
+        # Candidate clicks in LIST mode
+        elif game_state.hold_active and game_state.ui_mode == "LIST" and py > 130:
+            # Each candidate row is ~40px starting around y=130
+            candidate_idx = (py - 130) // 40
+            if 0 <= candidate_idx < len(game_state.candidates):
+                game_state.selected_idx = candidate_idx
+                game_state.ui_mode = "DRILL"
+    
+    return render_game(game_state), get_status_text()
+
+def execute_move():
+    """Execute the currently selected move"""
+    global game_state
+    
+    if not game_state.hold_active or game_state.game_over:
+        return render_game(game_state), get_status_text()
+    
+    if game_state.candidates and game_state.selected_idx < len(game_state.candidates):
+        selected = game_state.candidates[game_state.selected_idx]
+        ai_move = game_state.candidates[0]['move']
+        was_override = selected['move'] != ai_move
+        
+        # Make white's move
+        game_state.make_move(selected['move'], "ChessBot", was_override)
+        game_state.hold_active = False
+        game_state.ui_mode = "LIST"
+        
+        # Stockfish responds (if game not over)
+        if not game_state.game_over and game_state.board.turn == chess.BLACK:
+            sf_move = game_state.get_stockfish_move()
+            game_state.make_move(sf_move, "Stockfish", False)
+        
+        # Get next AI move if it's white's turn again
+        if not game_state.game_over and game_state.board.turn == chess.WHITE:
+            trigger_ai_turn()
+    
+    return render_game(game_state), get_status_text()
+
+def trigger_ai_turn():
+    """Trigger AI to generate move candidates"""
+    global game_state
+    
+    if game_state.game_over:
+        return
+    
+    ai_move, candidates, value = game_state.get_ai_move()
+    if candidates:
+        game_state.candidates = candidates
+        game_state.predictions = game_state.predict_cascade(candidates)
+        game_state.hold_active = True
+        game_state.current_merkle = game_state._compute_merkle({
+            'fen': game_state.board.fen(),
+            'candidates': [c['move'] for c in candidates]
+        })
+        game_state.selected_idx = 0
+        
+        # Store observation
+        game_state.last_observation = {
+            'evaluation': candidates[0].get('v_head', [0.33, 0.34, 0.33])
+        }
+
+def back_to_list():
+    """Go back to list mode"""
+    global game_state
+    game_state.ui_mode = "LIST"
+    return render_game(game_state), get_status_text()
+
+def new_game():
+    """Start a new game"""
+    global game_state
+    game_state.reset_game()
+    game_state.causal_chain = []
+    game_state.merkle_chain = []
+    
+    # Register game start
+    game_state.register_event({
+        'type': 'game_start',
+        'move': '',
+        'player': 'SYSTEM',
+        'fen': game_state.board.fen(),
+        'value': 0.0
+    })
+    
+    # Trigger first AI move
+    trigger_ai_turn()
+    
+    return render_game(game_state), get_status_text()
+
+def get_status_text():
+    """Get current status text"""
+    global game_state
+    
+    if game_state.game_over:
+        return f"🏁 {game_state.game_result}"
+    elif game_state.hold_active:
+        mode = "DRILL" if game_state.ui_mode == "DRILL" else "SELECT"
+        return f"⏸️ HOLD ACTIVE ({mode}) - {len(game_state.candidates)} candidates | Merkle: {game_state.current_merkle[:12]}..."
+    else:
+        turn = "White (ChessBot)" if game_state.board.turn == chess.WHITE else "Black (Stockfish)"
+        return f"▶️ {turn} to move | Moves: {len(game_state.move_history)}"
+
+def get_info_text():
+    """Get info panel text"""
+    global game_state
+    
+    lines = [
+        "═══ CASCADE LATTICE CHESS ═══",
+        "",
+        f"Chain Length: {len(game_state.causal_chain)}",
+        f"Total Holds: {game_state.session.total_holds}",
+        f"Override Rate: {game_state.session.override_rate*100:.1f}%",
+        f"Max Combo: {game_state.session.max_combo}",
+        "",
+        "Controls:",
+        "• Click candidates to drill down",
+        "• Execute to confirm move",
+        "• Back to return to list",
+        "• New Game to restart",
+    ]
+    
+    if game_state.hold_active and game_state.ui_mode == "DRILL" and game_state.candidates:
+        c = game_state.candidates[game_state.selected_idx]
+        lines.extend([
+            "",
+            f"═══ SELECTED: {c['move']} ═══",
+            f"Confidence: {c['prob']*100:.2f}%",
+            f"Reason: {c.get('reason', 'N/A')}",
+        ])
+    
+    return "\n".join(lines)
+
+# Build Gradio interface
+with gr.Blocks(title="Cascade Lattice Chess", theme=gr.themes.Base(primary_hue="cyan")) as demo:
+    gr.Markdown("""
+    # 🏁 CASCADE LATTICE CHESS // SUPER SAIYAN MODE
+    
+    **Human-in-the-loop chess with cryptographic provenance via cascade-lattice**
+    
+    Watch the AI think, override its decisions, and track every choice through a Merkle chain!
+    """)
+    
+    with gr.Row():
+        with gr.Column(scale=3):
+            game_image = gr.Image(
+                value=render_game(game_state),
+                label="Game Board",
+                interactive=True,
+                height=TOTAL_HEIGHT
+            )
+            status = gr.Textbox(value=get_status_text(), label="Status", interactive=False)
+        
+        with gr.Column(scale=1):
+            info = gr.Textbox(value=get_info_text(), label="Info", lines=20, interactive=False)
+            
+            with gr.Row():
+                new_btn = gr.Button("🆕 New Game", variant="secondary")
+                back_btn = gr.Button("⬅️ Back", variant="secondary")
+            
+            execute_btn = gr.Button("✅ Execute Move", variant="primary", size="lg")
+    
+    # Event handlers
+    game_image.select(process_click, inputs=[game_image], outputs=[game_image, status])
+    execute_btn.click(execute_move, outputs=[game_image, status])
+    back_btn.click(back_to_list, outputs=[game_image, status])
+    new_btn.click(new_game, outputs=[game_image, status])
+    
+    # Auto-refresh info
+    game_image.change(lambda: get_info_text(), outputs=[info])
+
+# Initialize first game
+trigger_ai_turn()
+
+if __name__ == "__main__":
+    demo.launch()

packages.txt

@@ -0,0 +1 @@
+stockfish

requirements.txt

@@ -0,0 +1,7 @@
+gradio>=4.0.0
+chess
+torch
+transformers
+numpy
+Pillow
+cascade-lattice>=0.5.0