create app.py

app.py

@@ -0,0 +1,44 @@
+import gradio as gr
+import chess
+import numpy as np
+from huggingface_hub import hf_hub_download
+import os
+
+TOKEN = os.environ.get("HF_TOKEN")
+
+# MODEL repo (model type)
+model_repo = "test1978/chess-model"
+model_path = hf_hub_download(model_repo, "chess_mcvs.py", repo_type="model", token=TOKEN)
+with open(model_path, 'r', encoding='utf-8-sig') as f:
+    exec(f.read())
+
+# DB dataset (dataset type!)
+db_repo = "test1978/chess-data"
+db_path = hf_hub_download(db_repo, "chess_zone_db.npz", repo_type="dataset", token=TOKEN)
+zonedb_data = np.load(db_path, allow_pickle=True)
+
+# Init YOUR zone DB
+zonedb = HilbertOrderedZoneDatabase()
+zonedb.winningmatrices = list(zonedb_data.get('winning', []))
+zonedb.losingmatrices = list(zonedb_data.get('losing', []))
+zonedb.drawmatrices = list(zonedb_data.get('draw', []))
+
+def get_move(fen, player):
+    board = chess.Board(fen)
+    game = Chess()
+    game.board = board
+    searcher = MCVSSearcher(None, None, zonedb, lambda_zone=1.0, k_zone=5)
+    visits, _ = searcher.search_with_time_budget(game, 1.0)
+    best_move = max(visits, key=visits.get)
+    return best_move.uci()
+
+demo = gr.Interface(
+    fn=get_move,
+    inputs=gr.Textbox(
+        label="FEN", 
+        value="rnbqkbnr/pppppppp/8/8/4P3/8/PPPP1PPP/RNBQKBNR b KQkq e3 0 1"
+    ),
+    outputs=gr.Textbox(label="UCI Move"),
+    title="🎯 ChessMCVS Secure (Model + Dataset)"
+)
+demo.launch()