diff --git a/.gitignore b/.gitignore
index b6e4761..109e59a 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,3 +1,11 @@
+# Mine
+KataGoData
+old
+models
+.idea
+gtp.log
+*.zip
+
 # Byte-compiled / optimized / DLL files
 __pycache__/
 *.py[cod]
diff --git a/README.md b/README.md
new file mode 100644
index 0000000..7a2d9b5
--- /dev/null
+++ b/README.md
@@ -0,0 +1,74 @@
+Manual
+======
+
+Installation
+------------
+* pip install kivy
+* change the `engine.command` field in `config.json` to your kata installation (for example, to `path/to/lizzie/katago/katago.exe`)
+* start the app by running `python katrain.py` (or `python3` if needed)
+
+Options
+-------
+* Top row options
+    * Eval: show the coloured dots on the moves for this player.
+    * Hints: show suggested moves for this player.
+    * Undo: automatically undo poor moves for this player and make them try again.
+    * Lock AI: disallow extra undos, changing hints options, changing auto move, or AI move.
+    * Show owner: show expected control of territory. 
+
+* Temperature/Evaluation/Score: Not that these fields can be hidden by clicking on the text.
+    * Temperature is the point difference between passing and the best move.
+    * Evaluation is where on this scale the last move was, from 0% (equivalent to a pass) to 100% (best move). 
+    This can be < 0% in case of suicidal moves, or >100% when Kata did not consider the move before, or further analysis shows it to be better than the best one considered.
+    * Score: Expected score.
+
+Play
+----
+
+* Play against the AI
+    * Turn on auto move. 
+    * Choose whether to turn on `balance score` to make the AI play slack moves.
+    * Choose whether to turn on `undo` for your colour to be prompted to re-try poor moves. 
+    * Choose whether or not to turn on `fast` to make the AI play faster but read less deeply (NB: with balance score, faster AI can be a stronger opponent, as there are fewer mediocre moves considered).
+    * Possibly lock AI to prevent yourself from peeking at hints, etc.
+    * Possibly hide score or temperature.
+    * Possibly hide evaluation for the AI player.
+    * Play by playing a move or clicking AI move if you want white.
+    
+* Engine-assisted play
+    * Turn off auto move.
+    * Choose whether to turn on `undo` for either colour to be prompted to re-try poor moves.
+    * Possibly lock AI to prevent peeking at hints.
+    * Possibly hide score or temperature.
+    * Play with a friend with instant feedback and/or undos for both, or see how many stones stronger you are with one undo. (But please play unranked and be honest to your opponent on what you're doing) 
+
+* Analysis
+    * Copy the SGF into the text box
+    * Choose whether or not to turn on `fast` to make the AI weaker but analyze faster.
+    * Click `Analyze`
+    
+* Save game
+    * Click save to get an sgf as `out.sgf` with comments (and a short version in the text box).
+
+Configuration
+-------------
+`config.json` has a number of options, many of them are stylistic.
+
+The `trainer` block has the following options to tweak:
+
+* `balance_play_target_score`: indicates how many points the AI aims to win by when using 'balance score'.
+* `balance_play_randomize_eval`: when not needing to balance score, the AI will pick a random move which is at least this good.
+* `balance_play_min_eval`: when needing to balance score, the AI will pick a move which is at least this good.
+* `balance_play_min_visits`: never pick a move with fewer playouts than this.
+* `undo_eval_threshold`, `undo_point_threshold`: prompt player to undo if move is worse than this in terms of points AND evaluation.
+* `undo_outdated_eval_threshold`: don't prompt undo if last move's evaluation is >= `undo_eval_threshold` and the NEW evaluation is greater than this. (this decreases frustration when hints are on, or when kata over-estimates the best move).
+* `num_undo_prompts`: automatically undo bad moves when `undo` is on at most this many times.
+* `show_ai_options`: show which moves the AI considered.
+
+The cfg file has additional configuration for kata. In particular, it changes the default to being more exploratory and score-based (and therefore nicer as an opponent, but weaker as analysis tool).
+
+TODO
+----
+* Prisoner count
+* Better name
+* ....
diff --git a/__init__.py b/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/config.json b/config.json
new file mode 100644
index 0000000..512aa3b
--- /dev/null
+++ b/config.json
@@ -0,0 +1,46 @@
+{
+  "analysis": {
+    "pass_visits": 200,
+    "pass_visits_fast": 50,
+    "visits": 3500,
+    "visits_fast": 1500,
+    "nopass_visits": 10
+  },
+  "board": {
+    "size": 19,
+    "komi": 7.5
+  },
+  "ui": {
+    "size_min": 1,
+    "size_max": 15,
+    "stones": [ [0.05, 0.05, 0.05], [0.95, 0.95, 0.95] ],
+    "ghost_alpha": 0.5,
+    "eval_colors": [[0.537, 0.129, 0.42], [1, 0, 0], [1, 0.95, 0], [0.117, 0.588, 0]],
+    "undo_circle_col": [0.88,0.02,0.17,0.5],
+    "undo_alpha": 0.5,	
+    "eval_knots": [0, 0.5, 0.875, 1],
+    "eval_bounds": [1,12],
+    "board_margin": 1.5,
+    "starpoint_size": 0.1,
+    "stone_size": 0.475,
+    "board_color": [0.85, 0.68, 0.40],
+    "line_color": [0,0,0]
+  },
+  "engine": {
+    "command": "../lizzie/katago/katago.exe gtp -model models/b10.gz -config gtp_explore_score.cfg"
+  },
+  "trainer": {
+    "balance_play_target_score": 2,
+    "balance_play_randomize_eval": 0.95,
+    "balance_play_min_eval": 0.875,
+    "balance_play_min_visits": 20,
+    "undo_eval_threshold": 0.875,
+    "undo_outdated_eval_threshold": 0.8,
+    "undo_point_threshold": 1,
+    "num_undo_prompts": 1,
+    "show_ai_options": true
+  },
+  "debug": {
+    "level": 1
+  }
+}
diff --git a/controller.py b/controller.py
new file mode 100644
index 0000000..eae59f9
--- /dev/null
+++ b/controller.py
@@ -0,0 +1,99 @@
+from kivy.storage.jsonstore import JsonStore
+from kivy.uix.gridlayout import GridLayout
+
+from engine import KataEngine
+from move import Move
+
+Config = JsonStore("config.json")
+
+
+class EngineControls(GridLayout):
+    def __init__(self, **kwargs):
+        super(EngineControls, self).__init__(**kwargs)
+        self.engine = KataEngine(self, Config)
+
+    def restart(self, boardsize=None):
+        self.engine.restart(boardsize)
+
+    def action(self, message, *args):
+        self.engine.action(message, *args)
+
+    @property
+    def ready(self):
+        return self.engine.ready
+
+    @property
+    def boardsize(self):
+        return self.engine.boardsize
+
+    @property
+    def stones(self):
+        return self.engine.stones
+
+    @property
+    def moves(self):
+        return self.engine.moves
+
+    @property
+    def current_player(self):
+        return self.engine.current_player()
+
+    def redraw(self, include_board=False):
+        if include_board:
+            self.parent.board.draw_board()
+        self.parent.board.redraw()
+
+    def update_analysis(self, analysis, mode, ownership):
+        for d in analysis:
+            d["scoreMean"] = float(d["scoreMean"])
+
+        if mode == 0:
+            pm = [d for d in analysis if d["move"] == "pass"]
+            npm = [d for d in analysis if d["move"] != "pass"]
+            if pm:
+                pv = sum([int(d["visits"]) for d in pm], 0)
+                npv = sum([int(d["visits"]) for d in npm], 0)
+                print("pass visits", pv, "other", npv)
+                if pv > npv:
+                    print(analysis)
+            self.moves[-1].pass_analysis = [d for d in analysis if d["move"] != "pass"]
+        else:
+            if ownership:
+                self.moves[-1].ownership = [float(p) for p in ownership[0].strip().split(" ")]
+            best = analysis[0]["scoreMean"]
+            worst = -self.moves[-1].pass_analysis[0]["scoreMean"]
+            for d in analysis:
+                d["evaluation"] = (d["scoreMean"] - worst) / (best - worst)
+            self.moves[-1].analysis = analysis
+
+            if self.eval.active(1 - self.current_player):
+                self.temperature.text = f"{self.moves[-1].temperature():.1f}"
+                self.score.text = f"{Move.PLAYERS[self.current_player]}{float(analysis[0]['scoreMean']):+.1f}".replace("-", "\u2013")  # en dash
+            if len(self.moves) >= 2 and self.moves[-2].analysis:
+                self.moves[-1].evaluate(self.moves[-2])
+                if self.eval.active(1 - self.current_player):
+                    if self.moves[-1].evaluation:
+                        self.evaluation.text = f"{100 * self.moves[-1].evaluation:.1f}%"
+                    else:
+                        self.evaluation.text = "N/A"
+                self.redraw(include_board=False)  # for dots and stuff
+
+    def sgf(self):
+        def sgfify(mvs):
+            return f"(;GM[1]FF[4]SZ[{self.boardsize}]KM[{self.engine.komi}]RU[CN];" + ";".join(mvs) + ")"
+
+        def format_move(m, pm):
+            undo_comment = "".join(f"\nUndo: {u.gtp()} was {100*u.evaluation:.1f}%" for u in pm.undos if u.evaluation)
+            undo_cr = "".join(f"MA[{u.sgfcoords(self.boardsize)}]" for u in pm.undos if u.coords[0])
+            if pm.analysis and pm.analysis[0]["move"] != "pass":
+                best_sq = f"SQ[{Move(gtpcoords=pm.analysis[0]['move'],player=0).sgfcoords(self.boardsize)}]"
+            else:
+                best_sq = ""
+            return m.sgf(self.boardsize) + f"C[{m.comment}{undo_comment}]{undo_cr}{best_sq}"
+
+        sgfmoves_small = [mv.sgf(self.boardsize) for mv in self.moves[1:]]
+        sgfmoves = [format_move(mv, pmv) for mv, pmv in zip(self.moves[1:], self.moves[:-1])]
+
+        with open("out.sgf", "w") as f:
+            f.write(sgfify(sgfmoves))
+        return sgfify(sgfmoves_small)
diff --git a/engine.py b/engine.py
new file mode 100644
index 0000000..5bc4056
--- /dev/null
+++ b/engine.py
@@ -0,0 +1,278 @@
+import re
+import random
+import shlex
+import subprocess
+import threading
+import time
+from queue import Queue
+from move import Move
+
+
+class KataEngine:
+    def __init__(self, controls, config):
+        self.controls = controls
+        self.command = shlex.split(config.get("engine")["command"])
+
+        analysis_settings = config.get("analysis")
+        self.visits = [[analysis_settings["pass_visits"], analysis_settings["visits"]], [analysis_settings["pass_visits_fast"], analysis_settings["visits_fast"]]]
+        self.min_nopass_visits = analysis_settings["nopass_visits"]
+        self.train_settings = config.get("trainer")
+        self.debug = config.get("debug")["level"]
+        self.boardsize = config.get("board")["size"]
+        self.komi = config.get("board")["komi"]
+        self.ready = False
+        self.stones = []
+        self.message_queue = None
+        self.moves = [Move(player=1, coords=(None, None))]  # sentinel
+
+        self.kata = None
+
+    def current_player(self):
+        return 1 - self.moves[-1].player
+
+    def restart(self, boardsize):
+        self.ready = False
+        if not self.message_queue:
+            self.message_queue = Queue()
+            self.analysis_semaphore = threading.Semaphore(1)
+            self.stop_analyzing = True
+            self.thread = threading.Thread(target=self._engine_thread, daemon=True).start()
+        else:
+            with self.message_queue.mutex:
+                self.message_queue.queue.clear()
+        self.stones = []
+        self.action("init", boardsize or self.boardsize)
+
+    def action(self, message, *args):
+        self.message_queue.put([message, *args])
+
+    def gtpread(self):
+        lines = []
+        while self.kata:
+            lines.append(self.kata.stdout.readline().decode())
+            if lines[-1].strip() == "":
+                break
+        return lines[:-1]
+
+    def gtpwrite(self, cmd):
+        if self.debug:
+            print("WRITE", cmd)
+        try:
+            self.kata.stdin.write((cmd + "\n").encode("utf-8"))
+            self.kata.stdin.flush()
+        except Exception:
+            self.controls.info.text = "Engine died, please restart app"
+            raise
+
+    def gtpcommand(self, cmd):
+        self.gtpwrite(cmd)
+        return self.gtpread()
+
+    def raw_gtpplaycommand(self, move):
+        if move == "undo":
+            output = self.gtpcommand("undo")
+        else:
+            output = self.gtpcommand(f"play {Move.PLAYERS[move.player]} {move.gtp()}")
+        output = "".join(output)
+        if self.debug and "?" in output:
+            print(move, output)
+        return "?" not in output
+
+    def update_stones(self):
+        board_output = self.gtpcommand("showboard")
+        board = [re.sub(r"[^\.ox]", "", l.lower()) for l in board_output[2:]]
+        self.stones = []
+        for y, line in enumerate(board[::-1]):
+            for x, st in enumerate(line):
+                if st != ".":
+                    self.stones.append(("xo".index(st), x, y))
+        self.controls.redraw(include_board=False)
+
+    def gtpplaycommand(self, move):
+        self.stop_analyzing = True
+        self.analysis_semaphore.acquire()
+        if self.raw_gtpplaycommand(move):  # update moves array if engine accepts move
+            if move == "undo":
+                self.moves[-2].undos.append(self.moves[-1])
+                self.moves.pop()
+            else:
+                self.moves[-1].undos = [m for m in self.moves[-1].undos if m.coords != move.coords]
+                self.moves.append(move)
+        self.update_stones()
+        # start analyzing new board position
+        self.stop_analyzing = False
+        self.analysis_semaphore.release()
+
+    # engine main loop
+    def _engine_thread(self):
+        self.kata = subprocess.Popen(self.command, stdin=subprocess.PIPE, stdout=subprocess.PIPE)
+        print(self.command, self.kata)
+        analysis_thread = threading.Thread(target=self._analyze_thread, args=(25,), daemon=True).start()
+        self.stop_analyzing = False
+
+        msg, *args = self.message_queue.get()
+        while True:
+            try:
+                if self.debug:
+                    print("MESSAGE", msg, args)
+                getattr(self, f"_do_{msg.replace('-','_')}")(*args)
+            except Exception as e:
+                self.controls.info.text = f"Exception in Engine thread: {e}"
+                raise
+            msg, *args = self.message_queue.get()
+
+    # engine action functions
+    def _do_play(self, *args):
+        self.gtpplaycommand(Move(player=self.current_player(), coords=args[0]))
+        self.controls.undo.disabled = True  # undo while waiting for this does weird things
+        undid = False
+        self.controls.info.text = ""
+        if self.controls.auto_undo.active(1 - self.current_player()):
+            print("undo active", self.current_player(), self.controls.auto_undo.active(self.current_player()))
+            undid = self._auto_undo()
+        if self.controls.ai_auto.active and not undid:
+            self._do_aimove(True)
+        self.controls.undo.disabled = False
+
+    def _evaluate_move(self, show=True):
+        while not self.moves[-1].analysis:  # ensure analysis has started, otherwise race condition on multi ai move
+            time.sleep(0.01)
+        self.analysis_semaphore.acquire() and self.analysis_semaphore.release()  # wait for analysis to finish
+        if self.moves[-1].evaluation and show:
+            self.controls.info.text = f"Your move {self.moves[-1].gtp()} was {100 * self.moves[-1].evaluation:.1f}% efficient and lost {self.moves[-1].points_lost:.1f} point(s).\n"
+
+    def _auto_undo(self):
+        ts = self.train_settings
+        self.controls.info.text = "Evaluating..."
+        self._evaluate_move()
+        if (
+            self.moves[-1].evaluation
+            and self.moves[-1].evaluation < ts["undo_eval_threshold"]
+            and self.moves[-1].points_lost >= ts["undo_point_threshold"]
+            and ts["num_undo_prompts"] > 0
+        ):
+            if self.moves[-1].outdated_evaluation:
+                outdated_points_lost = (1 - self.moves[-1].outdated_evaluation) * self.moves[-1].points_lost / (1 - self.moves[-1].evaluation)
+            # so if the move was not that far off (>undo_outdated_eval_threshold) and according to last move's analysis it was fine, don't undo.
+            if (
+                self.moves[-1].outdated_evaluation
+                and (self.moves[-1].outdated_evaluation >= ts["undo_eval_threshold"] or outdated_points_lost < ts["undo_point_threshold"])
+                and (self.moves[-1].evaluation > ts["undo_outdated_eval_threshold"] or outdated_points_lost < ts["undo_point_threshold"])
+            ):
+                self.controls.info.text += f"\nBut according to my previous evaluation it was {self.moves[-1].outdated_evaluation*100:.1f}% effective and lost {outdated_points_lost:.1f} point(s), so let's continue anyway.\n"
+            else:
+                if len(self.moves[-2].undos) < ts["num_undo_prompts"]:
+                    self.controls.info.text += f"\nLet's try again.\n"
+                    self.gtpplaycommand("undo")
+                    return True
+                else:
+                    evaled_moves = sorted([m for m in self.moves[-2].undos + [self.moves[-1]] if m.evaluation], key=lambda m: -m.evaluation)
+                    if evaled_moves and evaled_moves[0].coords != self.moves[-1].coords:
+                        self.gtpplaycommand("undo")
+                        self.gtpplaycommand(evaled_moves[0])
+                    summary = "\n".join(f"{m.gtp()}: {100*m.evaluation:.1f}% effective" for m in evaled_moves)
+                    self.controls.info.text += f"\nYour moves:\n{summary}.\nLet's continue with {evaled_moves[0].gtp()}.\n"
+        return False
+
+    def _do_aimove(self, auto=False):
+        ts = self.train_settings
+        if not auto:
+            self.controls.info.text = "Thinking..."
+        self._evaluate_move(auto and not self.controls.auto_undo.active(1 - self.current_player()))
+        # select move
+        pos_moves = [(d["move"], float(d["scoreMean"]), d["evaluation"]) for d in self.moves[-1].analysis if int(d["visits"]) >= ts["balance_play_min_visits"]]
+        if ts["show_ai_options"]:
+            self.controls.info.text += "AI Options: " + " ".join([f"{move}({100*eval:.0f}%,{score:.1f}pt)" for move, score, eval in pos_moves])
+        selmove = pos_moves[0][0]
+        if self.controls.ai_balance.active and pos_moves[0][0] != "pass":  # don't play suicidal to balance score - pass when it's best
+            selmoves = [
+                move
+                for move, score, eval in pos_moves
+                if eval > ts["balance_play_randomize_eval"] or eval > ts["balance_play_min_eval"] and score > ts["balance_play_target_score"]
+            ]
+            selmove = random.choice(selmoves)  # some kind of when further ahead play worse?
+        self.gtpplaycommand(Move(player=self.current_player(), gtpcoords=selmove, robot=True))
+
+    def _do_undo(self):
+        if self.controls.ai_auto.active and self.moves[-1].robot:
+            self.gtpplaycommand("undo")
+        if self.controls.ai_lock.active and self.controls.auto_undo.active(self.moves[-2].player) and len(self.moves[-2].undos) >= self.train_settings["num_undo_prompts"]:
+            self.controls.info.text = f"Can't undo more than {self.train_settings['num_undo_prompts']} time(s) when locked"
+            return
+        self.gtpplaycommand("undo")
+
+    def _do_init(self, boardsize, komi=None):
+        self.boardsize = boardsize
+        self.stop_analyzing = True
+        self.analysis_semaphore.acquire()
+        self.stones = []
+        self.moves = [Move(player=1, coords=(None, None))]  # sentinel
+        self.controls.redraw(include_board=True)
+        self.gtpcommand(f"boardsize {boardsize}")
+        self.gtpcommand(f"komi {komi or self.komi}")
+        self.gtpcommand("clear_board")
+        self.ready = True
+        self.analysis_semaphore.release()
+        self.stop_analyzing = False
+
+    def _do_analyze_sgf(self, sgf):
+        self._do_init(self.boardsize, self.komi)
+        sgfmoves = re.findall(r"([BW])\[([a-z]{2})\]", sgf)
+        for move in [Move(player=Move.PLAYERS.index(p.upper()), sgfcoords=(mv, self.boardsize)) for p, mv in sgfmoves]:
+            while not self.moves[-1].analysis:
+                time.sleep(0.01)
+            self.analysis_semaphore.acquire() and self.analysis_semaphore.release()  # wait for analysis to finish
+            self.gtpplaycommand(move)
+            self.controls.info.text = f"Analyzing move {move.gtp()}"
+        self.controls.info.text = "Analysis done!"
+
+    # analysis thread
+    def _analyze_thread(self, interval):
+        while True:
+            num_visits = self.visits[1 if self.controls.ai_fast.active else 0]
+            while self.stop_analyzing:  # TODO: cleaner concurrency?
+                time.sleep(0.01)
+            self.analysis_semaphore.acquire()
+            for mode in [0, 1]:  # pass, analyze
+                if self.stop_analyzing:
+                    break
+                if mode == 0:
+                    passmove = Move(player=self.current_player(), gtpcoords="pass")
+                    if len(self.moves) > 2 and len({self.moves[-2].coords, self.moves[-1].coords} - {(x, y) for _, x, y in self.stones}) == 0:  # nothing got captured
+                        undo_mode = 0
+                        self.raw_gtpplaycommand("undo")
+                        self.raw_gtpplaycommand("undo")
+                        self.raw_gtpplaycommand(passmove)
+                        self.raw_gtpplaycommand(self.moves[-1])
+                        self.raw_gtpplaycommand(self.moves[-2])
+                    else:
+                        undo_mode = 1
+                        for coords in [(0, 0), (0, self.boardsize - 1), (self.boardsize - 1, 0), (self.boardsize - 1, self.boardsize - 1), (None, None)]:
+                            if self.raw_gtpplaycommand(Move(player=self.current_player(), coords=coords)):
+                                break
+                self.gtpwrite(f"kata-analyze interval {interval} minmoves 2 {'ownership true' if mode==1 else ''}")
+                self.kata.stdout.readline()  # =
+                tot_visits = tot_nopass_visits = 0
+                while not self.stop_analyzing and (tot_visits < num_visits[mode] or tot_nopass_visits < self.min_nopass_visits):
+                    line = self.kata.stdout.readline().decode()
+                    line, *ownership = line.split("ownership")
+                    moves = [re.sub("pv .*", "", str).split(" ") for str in line.split("info ")[1:]]
+                    move_dicts = [{move[i]: move[i + 1] for i in range(0, len(move) - 1, 2)} for move in moves]
+                    self.controls.update_analysis(move_dicts, mode, ownership)
+                    tot_visits = sum([int(d["visits"]) for d in move_dicts], 0)
+                    tot_nopass_visits = sum([int(d["visits"]) for d in move_dicts if d["move"] != "pass"], 0)
+                    if self.debug:
+                        print("mode=", mode, "visits=", tot_visits, "nopass=", tot_nopass_visits)  # , "stop_analyzing?", stop_analyzing
+                self.gtpcommand("stop")  # reads for analyze empty line
+                self.gtpread()  # for stop line empty line
+                # for modes loop
+                if mode == 0:  # undo A1
+                    self.raw_gtpplaycommand("undo")
+                    if undo_mode == 0:
+                        self.raw_gtpplaycommand("undo")
+                        self.raw_gtpplaycommand("undo")
+                        self.raw_gtpplaycommand(self.moves[-2])
+                        self.raw_gtpplaycommand(self.moves[-1])
+                else:
+                    self.stop_analyzing = True  # ehh
+            self.analysis_semaphore.release()  # signal other threads waiting for analysis to finish
diff --git a/gtp_explore_score.cfg b/gtp_explore_score.cfg
new file mode 100644
index 0000000..530f9f9
--- /dev/null
+++ b/gtp_explore_score.cfg
@@ -0,0 +1,252 @@
+# Example config for C++ (non-python) gtp bot
+
+# RUNNING ON AN ONLINE SERVER OR IN A REAL TOURNAMENT OR MATCH:
+# If you plan to do so, you may want to read through the "Rules" section
+# below carefully for proper handling of komi and handicap games and end-of-game cleanup
+# and various other details.
+
+# NOTES ABOUT PERFORMANCE AND MEMORY USAGE:
+# You will likely want to tune one or more the following:
+#
+# numSearchThreads:
+# The number of CPU threads to use. If your GPU is powerful, it can actually be much higher than
+# the number of cores on your processor because you will need many threads to feed large enough
+# batches to make good use of the GPU.
+#
+# nnMaxBatchSize:
+# The maximum GPU batch size. Should often be at least as large as numSearchThreads.
+# Larger won't do anything, but also won't hurt except use a little bit more GPU memory.
+# Smaller can be fine if you have more than one GPU, since the GPUs will be sharing the work
+# of servicing the CPU threads.
+#
+# cudaUseFP16 and cudaUseNHWC:
+# These have a good chance of improving peformance at larger threads/batch sizes if
+# you are using the CUDA implementation with an NVIDIA GPU with FP16 tensor cores.
+#
+# nnCacheSizePowerOfTwo:
+# This controls the NN Cache size, which is the primary RAM/memory use.
+# Each neural net entry takes very approximately 1.5KB, except when using whole-board
+# ownership/territory visualizations, each entry will take very approximately 3KB.
+# The number of entries is (2 ** nnCacheSizePowerOfTwo), for example 2 ** 18 = 262144.
+# Increase this if you don't mind the memory use and want better performance
+# for searches with tens of thousands of visits or more (due to birthday paradox
+# it can start mattering well before cache actually fills entirely up).
+# Decrease this if you want to limit memory usage.
+#
+# OTHER NOTES:
+# If you have more than one GPU, take a look at "OpenCL GPU settings" or "CUDA GPU settings" below.
+#
+# If using OpenCL, you will want to verify that KataGo is picking up the correct device!
+# (e.g. some systems may have both an Intel CPU OpenCL and GPU OpenCL, if KataGo appears to pick
+# the wrong one, you correct this by specifying "openclGpuToUse" below).
+#
+# You may also want to adjust "maxVisits", "ponderingEnabled", "resignThreshold", and possibly
+# other parameters depending on your intended usage.
+
+
+# Logs------------------------------------------------------------------------------------
+
+# Where to output log?
+logFile = gtp.log
+# Logging options
+logAllGTPCommunication = true
+logSearchInfo = true
+logToStderr = false
+
+# KataGo will display some info to stderr on GTP startup
+# Uncomment this to suppress that and remain silent
+# startupPrintMessageToStderr = false
+
+# Chat some stuff to stderr, for use in things like malkovich chat to OGS.
+# ogsChatToStderr = true
+
+# Configure the maximum length of analysis printed out by lz-analyze and other places.
+# Controls the number of moves after the first move in a variation.
+# analysisPVLen = 9
+
+# Report winrates for chat and analysis as (BLACK|WHITE|SIDETOMOVE).
+# Default is SIDETOMOVE, which is what tools that use LZ probably also expect
+# reportAnalysisWinratesAs = SIDETOMOVE
+
+# Rules------------------------------------------------------------------------------------
+
+# koRule = SIMPLE        #Simple ko rules (triple ko = no result)
+koRule = POSITIONAL     #Positional superko
+# koRule = SITUATIONAL   #Situational superko
+# koRule = SPIGHT        #Spight superko - https://senseis.xmp.net/?SpightRules
+
+scoringRule = AREA        #Area scoring
+# scoringRule = TERRITORY  #Territory scoring (uses a sort of special computer-friendly territory ruleset)
+
+multiStoneSuicideLegal = false  #Is multiple-stone suicide legal? (Single-stone suicide is always illegal).
+
+# Make the bot capture stones that are part of pass-alive territory
+# This is necessary to get correct play under tromp-taylor rules since the bot otherwise assumes (and is trained under)
+# a ruleset where those stones need not be captured. It obviously should NOT be enabled if playing under territory scoring.
+cleanupBeforePass = false
+
+# Uncomment this to make it so that if the game seems to be a handicap game, assume that white gets +1 point per
+# black handicap stone. Some Go servers like OGS will silently give white such points without including it in the komi.
+# whiteBonusPerHandicapStone = 1
+
+# Resignation occurs if for at least resignConsecTurns in a row,
+# the winLossUtility (which is on a [-1,1] scale) is below resignThreshold.
+allowResignation = false
+resignThreshold = -0.98
+resignConsecTurns = 3
+
+# Assume that if black makes many moves in a row right at the start of the game, then the game is a handicap game.
+# This is necessary on some servers and for some GUIs and also when initializing from many SGF files, which may
+# set up a handicap games using repeated GTP "play" commands for black rather than GTP "place_free_handicap" commands.
+# However, it may also lead to incorrect undersanding of komi if whiteBonusPerHandicapStone = 1 and a server does NOT
+# have such a practice.
+# Defaults to true. Uncomment and set to false to disable this behavior.
+# assumeMultipleStartingBlackMovesAreHandicap = false
+
+# Search limits-----------------------------------------------------------------------------------
+
+# If provided, limit maximum number of root visits per search to this much. (With tree reuse, visits do count earlier search)
+maxVisits = 1000
+# If provided, limit maximum number of new playouts per search to this much. (With tree reuse, playouts do not count earlier search)
+# maxPlayouts = 1000
+# If provided, cap search time at this many seconds (search will still try to follow GTP time controls)
+# maxTime = 60
+
+# Ponder on the opponent's turn?
+ponderingEnabled = false
+
+# Same limits but for ponder searches if pondering is enabled
+# maxVisitsPondering = 1000
+# maxPlayoutsPondering = 1000
+# maxTimePondering = 60
+
+# Number of seconds to buffer for lag for GTP time controls
+lagBuffer = 1.0
+
+# Number of threads to use in search
+numSearchThreads = 1
+
+# Play a little faster if the opponent is passing, for friendliness
+searchFactorAfterOnePass = 0.50
+searchFactorAfterTwoPass = 0.25
+# Play a little faster if super-winning, for friendliess
+searchFactorWhenWinning = 0.40
+searchFactorWhenWinningThreshold = 0.95
+
+# GPU Settings-------------------------------------------------------------------------------
+
+# Maximum number of positions to send to GPU at once. Note that you will also need to increase numSearchThreads
+# to make use of this, as every thread in KataGo is synchronous, so with 1 thread max batch will only be 1 anyways.
+nnMaxBatchSize = 16
+# Cache up to 2 ** this many neural net evaluations in case of transpositions in the tree.
+nnCacheSizePowerOfTwo = 18
+# Size of mutex pool for nnCache is 2 ** this
+nnMutexPoolSizePowerOfTwo = 14
+# Randomize board orientation when running neural net evals?
+nnRandomize = true
+# If provided, force usage of a specific seed for nnRandomize instead of randomizing
+# nnRandSeed = abcdefg
+
+# How many threads should there be to feed positions to the neural net?
+# Server threads are indexed 0,1,...(n-1) for the purposes of the below GPU settings arguments
+# that specify which threads should use which GPUs.
+# NOTE: This parameter is probably ONLY useful if you have multiple GPUs, since each GPU will need a thread.
+# If you're tuning single-GPU performance, use numSearchThreads instead.
+numNNServerThreadsPerModel = 1
+
+# CUDA GPU settings--------------------------------------
+# These only apply when using CUDA as the backend for inference.
+# (For GTP, we only ever have one model, when playing matches, we might have more than one, see match_example.cfg)
+
+# Default behavior tries to guess the 'best' GPU or device
+# You will want to uncomment and adjust one or more of these lines to take advantage of a multi-gpu machine
+# cudaDeviceToUse = 0 #use device 0 for all server threads (numNNServerThreadsPerModel) unless otherwise specified per-model or per-thread-per-model
+# cudaDeviceToUseModel0 = 3 #use device 3 for model 0 for all threads unless otherwise specified per-thread for this model
+# cudaDeviceToUseModel1 = 2 #use device 2 for model 1 for all threads unless otherwise specified per-thread for this model
+# cudaDeviceToUseModel0Thread0 = 3 #use device 3 for model 0, server thread 0
+# cudaDeviceToUseModel0Thread1 = 2 #use device 2 for model 0, server thread 1
+
+# Uncomment these on NVIDIA devices with FP16 tensor cores for probably a speedup, at the cost of introducing some precision loss in the nn calculation.
+# cudaUseFP16 = true
+# cudaUseNHWC = true
+
+# OpenCL GPU settings--------------------------------------
+# These only apply when using OpenCL as the backend for inference.
+# (For GTP, we only ever have one model, when playing matches, we might have more than one, see match_example.cfg)
+
+# Default behavior tries to guess the 'best' GPU or device
+# You will want to uncomment and adjust one or more of these lines to take advantage of a multi-gpu machine
+# openclDeviceToUse = 0 #use device 0 for all server threads (numNNServerThreadsPerModel) unless otherwise specified per-model or per-thread-per-model
+# openclDeviceToUseModel0 = 3 #use device 3 for model 0 for all threads unless otherwise specified per-thread for this model
+# openclDeviceToUseModel1 = 2 #use device 2 for model 1 for all threads unless otherwise specified per-thread for this model
+# openclDeviceToUseModel0Thread0 = 3 #use device 3 for model 0, server thread 0
+# openclDeviceToUseModel0Thread1 = 2 #use device 2 for model 0, server thread 1
+
+# Uncomment to tune OpenCL for every board size separately, rather than only the largest possible size
+# openclReTunePerBoardSize = true
+
+# Search randomization------------------------------------------------------------------------------
+# Note that multithreading can also introduce a significant amount of nondeterminism.
+
+# If provided, force usage of a specific seed for various things in the search instead of randomizing
+# searchRandSeed = hijklmn
+
+# Temperature for the early game, randomize between chosen moves with this temperature
+chosenMoveTemperatureEarly = 0.5
+# Decay temperature for the early game by 0.5 every this many moves, scaled with board size.
+chosenMoveTemperatureHalflife = 19
+# At the end of search after the early game, randomize between chosen moves with this temperature
+chosenMoveTemperature = 0.10
+# Subtract this many visits from each move prior to applying chosenMoveTemperature
+# (unless all moves have too few visits) to downweight unlikely moves
+chosenMoveSubtract = 0
+# The same as chosenMoveSubtract but only prunes moves that fall below the threshold, does not affect moves above
+chosenMovePrune = 1
+
+# Use dirichlet noise for the root node policy?
+rootNoiseEnabled = false
+# Dirichlet noise alpha is set to this divided by number of legal moves. 10.83 produces an alpha of 0.03 on an empty 19x19 board.
+rootDirichletNoiseTotalConcentration = 10.83
+# Proportion of root policy that is noise
+rootDirichletNoiseWeight = 0.25
+
+# Using LCB for move selection?
+useLcbForSelection = true
+# How many stdevs a move needs to be better than another for LCB selection
+lcbStdevs = 5.0
+# Only use LCB override when a move has this proportion of visits as the top move
+minVisitPropForLCB = 0.15
+
+# Internal params------------------------------------------------------------------------------
+
+# Scales the utility of winning/losing
+winLossUtilityFactor = 0.0
+# Scales the utility for trying to maximize score
+staticScoreUtilityFactor = 0.6
+dynamicScoreUtilityFactor = 0.4
+# Adjust dynamic score center this proportion of the way towards zero, capped at a reasonable amount.
+dynamicScoreCenterZeroWeight = 0.20
+# The utility of getting a "no result" due to triple ko or other long cycle in non-superko rulesets (-1 to 1)
+noResultUtilityForWhite = 0.0
+# The number of wins that a draw counts as, for white. (0 to 1)
+drawEquivalentWinsForWhite = 0.5
+
+# Exploration constant for mcts
+cpuctExploration = 2.0
+# FPU reduction constant for mcts
+fpuReductionMax = 0.2
+# Use parent average value for fpu base point instead of point value net estimate
+fpuUseParentAverage = true
+# Amount to apply a downweighting of children with very bad values relative to good ones
+valueWeightExponent = 0.5
+# Slight incentive for the bot to behave human-like with regard to passing at the end, filling the dame,
+# not wasting time playing in its own territory, etc, and not play moves that are equivalent in terms of
+# points but a bit more unfriendly to humans.
+rootEndingBonusPoints = 0.5
+# Make the bot prune useless moves that are just prolonging the game to avoid losing yet
+rootPruneUselessMoves = true
+
+# How big to make the mutex pool for search synchronization
+mutexPoolSize = 8192
+# How many virtual losses to add when a thread descends through a node
+numVirtualLossesPerThread = 1
diff --git a/icon.png b/icon.png
new file mode 100644
index 0000000..204ec05
Binary files /dev/null and b/icon.png differ
diff --git a/kata.py b/kata.py
new file mode 100644
index 0000000..3927efb
--- /dev/null
+++ b/kata.py
@@ -0,0 +1,223 @@
+import random
+import re
+import shlex
+import signal
+import subprocess
+import sys
+import threading
+
+DEBUG = True
+
+
+class GoEngine:
+    GTP_COORD = "ABCDEFGHJKLMNOPQRSTUVWYXYZ"
+    SGF_COORD = [chr(i) for i in range(97, 123)]
+
+    def __init__(self, boardsize=19):
+        self.boardsize = boardsize
+        self.moves = []
+        self.stones = []  # TODO refactor stones vs moves distinction
+        self.komi = 7.5
+        self.turn = 0
+
+    def start(self, boardsize):
+        self.__init__(boardsize)
+
+    def play(self, coords, player=None, temp=False):
+        if not temp:
+            self.moves.append((player or self.turn, *(coords or [None, None])))  # pass is x=y=None
+            if not player:
+                self.turn = 1 - self.turn
+
+    def generate_move(self):
+        for _ in range(1000):
+            move = (random.randint(0, self.boardsize - 1), random.randint(0, self.boardsize - 1))
+            if move not in [(x, y) for _, x, y in self.stones]:
+                break
+        self.play(move)
+
+    def undo(self):
+        if self.moves:
+            self.moves.pop()
+            self.turn = 1 - self.turn
+
+    def gtp2ix(self, gtpmove):
+        if "pass" in gtpmove:
+            return (None, None)
+        return (GoEngine.GTP_COORD.index(gtpmove[0]), int(gtpmove[1:]) - 1)
+
+    def ix2gtp(self, coords):
+        if not coords:
+            return "pass"
+        return GoEngine.GTP_COORD[coords[0]] + str(coords[1] + 1)
+
+    def coord2sgf(self, pl, x, y):
+        if x is None:
+            return f"{'BW'[pl]}[]"
+        else:
+            return f"{'BW'[pl]}[{GoEngine.SGF_COORD[x]}{GoEngine.SGF_COORD[self.boardsize - y - 1]}]"
+
+    def sgf(self):
+        sgfmoves = [self.coord2sgf(pl, x, y) for pl, x, y in self.moves]
+        return f"(;GM[1]SZ[{self.boardsize}]KM[{self.komi}];" + ";".join(sgfmoves) + ")"
+
+
+NEXT_BEST_PLAYOUTS = 1000
+PASS_PLAYOUTS = 250
+
+
+class KataEngine(GoEngine):
+    # CMD = "kg/cpp/katago gtp -model modelb6/model.txt.gz -config katagtp.cfg"
+    CMD = "../lizzie/katago/katago.exe gtp -model ../lizzie/katanetwork.gz -config katagtp.cfg"
+
+    def __init__(self, boardsize=19):
+        super().__init__(boardsize)
+        self.stones = []
+        self.temperature = 0
+        if getattr(self, "kata", None):
+            self.stop()
+        else:
+            signal.signal(signal.SIGINT, lambda *args: self.stop() and sys.exit(0))
+        self.lock = threading.Lock()
+        threading.Thread(target=self.create_pipe, daemon=True).start()
+
+    def create_pipe(self):
+        with self.lock:  # prevent other commands until started
+            self.kata = subprocess.Popen(shlex.split(KataEngine.CMD), stdin=subprocess.PIPE, stdout=subprocess.PIPE)
+            self._command(f"boardsize {self.boardsize}")
+        self.calc_temperature()
+
+    def stop(self):
+        if self.kata:
+            print("STOPPING KATA")
+            self.kata.terminate()
+
+    def start(self, boardsize):
+        self.__init__(boardsize)
+
+    def _read(self):
+        lines = []
+        while self.kata:
+            lines.append(self.kata.stdout.readline().decode())
+            if DEBUG:
+                print("READ", lines[-1].rstrip())
+            if lines[-1].strip() == "":
+                break
+        return lines[:-1]
+
+    def _write(self, cmd):
+        if DEBUG:
+            print("WRITE", cmd)
+        self.kata.stdin.write((cmd + "\n").encode("utf-8"))
+        self.kata.stdin.flush()
+
+    def _command(self, cmd):
+        self._write(cmd)
+        return self._read()
+
+    def _eq_command(self, cmd):
+        return [l for l in self._command(cmd) if "=" in l][0][1:].strip()
+
+    def current_player(self):
+        return "BW"[self.turn]
+
+    def generate_move(self):
+        with self.lock:  # lock to ensure temp is done / hacky eh
+            coords = self.gtp2ix(self.best_analysis[0]["move"])
+        return self.play(coords)
+
+    def _play(self, coords, player=None):
+        self._command(f"play {player or self.current_player()} {self.ix2gtp(coords)}")
+
+    def play(self, coords, player=None):
+        with self.lock:
+            self._play(coords, player)
+            super().play(coords, player)
+        self.update_position()
+        best_score = float(self.best_analysis[0]["scoreMean"])
+        worst_score = -float(self.pass_analysis[0]["scoreMean"])
+        self.calc_temperature()
+        last_move_score = -float(self.best_analysis[0]["scoreMean"])
+        print("BEST", best_score, "WORST", worst_score, "LAST MOVE", last_move_score)
+        return (last_move_score - worst_score) / (best_score - worst_score)
+
+    def undo(self):
+        with self.lock:
+            super().undo()
+            self._command("undo")
+        self.update_position()
+
+    def showboard(self):
+        with self.lock:
+            output = self._command("showboard")
+            return [re.sub("[^\.ox]", "", l.lower()) for l in output[2:]]
+
+    def update_position(self):
+        print("UPDATING POSITION")
+        board = self.showboard()
+        self.stones = []
+        for y, line in enumerate(board[::-1]):
+            for x, st in enumerate(line):
+                if st != ".":
+                    self.stones.append(("xo".index(st), x, y))
+
+    def analyze(self, nvisits=100, interval=10):
+        self._write(f"kata-analyze interval {interval} ownership true")
+        stopped = False
+        move_dicts = []
+        while self.kata:
+            line = self.kata.stdout.readline().decode()
+            if stopped and line.strip() == "":
+                self._read()  # stop cause previous line break and then =, another double line break
+                break
+            elif "info" not in line:
+                continue
+            line, ownership = line.split("ownership")
+            moves = [re.sub("pv .*", "", str).split(" ") for str in line.split("info ")[1:]]
+            move_dicts = [{move[i]: move[i + 1] for i in range(0, len(move) - 1, 2)} for move in moves]
+            tot_visits = sum([int(d["visits"]) for d in move_dicts], 0)
+            if not stopped and tot_visits > nvisits:
+                stopped = True
+                self._write("stop")
+        print("analyzed", move_dicts)
+        return move_dicts  # {d['move']: d for d in move_dict} #/by order?
+
+    def calc_temperature(self):
+        with self.lock:
+            self.best_analysis = self.analyze(NEXT_BEST_PLAYOUTS)
+            print("playing pass")
+            self._play((0, 0))  # pass does some weird things with pass being optimal
+            print("analyzing post pass")
+            self.pass_analysis = self.analyze(PASS_PLAYOUTS)
+            self._command("undo")
+            #  score after best move - score after pass = temp, but score after pass is negated here bc opponent's perspective
+            self.temperature = float(self.best_analysis[0]["scoreMean"]) + float(self.pass_analysis[0]["scoreMean"])
+            return self.temperature
+
+
+if __name__ == "__main__":
+
+    # https://github.com/lightvector/KataGo/issues/25
+    k = KataEngine()
+
+    # print(k.genmove("b"))
+    # print(k.showboard())
+    # print(k.genmove("w"))
+    # print(k.showboard())
+    # print(k.genmove("w"))
+    # print(k.showboard())
+    print(k.play((3, 3)))
+    print("TEMPERATURE:", k.temperature())
+    print(k.play((15, 3)))
+    print("TEMPERATURE:", k.temperature())
+    print(k.showboard())
+
+    print(k.analyze(1000))
+    print(k.play((0, 0)))
+    print("TEMPERATURE:", k.temperature())
+    print(k.showboard())
+
+    # k.stop()
+
+    # k.play('b','pass')
+    # md = k.analyze()
diff --git a/katrain.kv b/katrain.kv
new file mode 100644
index 0000000..5b6db27
--- /dev/null
+++ b/katrain.kv
@@ -0,0 +1,288 @@
+#:kivy 1.11.0
+
+
+
+
+<StyledButton@Button>:
+    text_color: 0.95,0.95,0.95,1
+    button_color: 0.157,0.455,0.753,1
+    button_color_down: (*[c/2 for c in self.button_color[:3]],1)
+    margin: (2,1)
+    bold: True
+    font_size: self.size[1] * 0.4
+    radius: int(self.size[1]/3)
+    # dont set these
+    disabled_mask: (0.5,0.5,0.5,1) if self.disabled else (1,1,1,1)
+    color: self.disabled_mask if self.disabled else self.text_color
+    background_color: 0,0,0,0
+    background_normal: ''
+    face_color: [c*m for c,m in zip(self.button_color if root.state=='normal' else self.button_color_down,self.disabled_mask)]
+    canvas.before:
+        Color:
+            rgba: root.face_color or [0,0,0,0]
+        RoundedRectangle:
+            size: self.size[0]-2*self.margin[0],self.size[1]-2*self.margin[1]
+            pos: (self.pos[0]+self.margin[0],self.pos[1]+self.margin[1])
+            radius: (root.radius or 0,)
+
+<DarkLabel@Label>:
+    color: (0.05,0.05,0.05,1)
+
+<LargeLabel@DarkLabel>:
+	bold: True
+
+<CheckBox>
+    color: (0.05,0.05,0.05,1)
+
+<CheckBoxHintLabel@ButtonBehavior+DarkLabel>:
+	halign: 'center'
+	valign: 'center'
+
+<CheckBoxHint>
+	orientation: 'vertical'
+	checkbox: checkbox
+	text: ''
+	default_active: False
+	CheckBoxHintLabel:
+		size_hint: 1,0.45
+		font_size: root.height * 0.2
+		text: root.text
+		on_press: if not checkbox.disabled: checkbox._do_press()
+	CheckBox:
+		size_hint: 1,0.55
+		id: checkbox
+		on_active: root.dispatch('on_active')
+		active: root.default_active
+
+<BWCheckBoxHint>
+    black: black
+    white: white
+	orientation: 'vertical'
+	text: ''
+	default_active: False
+	CheckBoxHintLabel:
+		size_hint: 1,0.2
+		text: root.text
+		font_size: self.height
+		on_press: if not white.disabled: white._do_press(); black._do_press()
+	CheckBox:
+		size_hint: 1,0.4
+		id: black
+		active: root.default_active
+		on_active: root.dispatch('on_active')
+	CheckBox:
+		size_hint: 1,0.4
+		id: white
+		active: root.default_active
+		on_active: root.dispatch('on_active')
+
+
+<CensorableLabel>
+	orientation: 'horizontal'
+	text: ''
+	label: ''
+	CheckBoxHintLabel:
+		size_hint: 0.6,1
+		text: root.label
+		font_size: self.height  * 0.6
+		on_press: value.opacity =  1 if  value.opacity==0 else 0
+	DarkLabel:
+		size_hint: 0.4,1
+		text: root.text
+		font_size: self.height * 0.6
+		id: value
+		bold: True
+
+<Badukpan>:
+	size: self.parent.height, self.parent.height
+	engine: self.parent.controls
+	
+<EngineControls>
+	cols: 1
+	rows: 9
+	info: info
+	temperature: temperature
+	evaluation: evaluation
+	score: score
+	hints: hints
+	ownership: ownership
+    eval: eval
+	ai_balance: ai_balance
+	ai_auto: ai_auto
+	ai_fast: ai_fast
+	ai_lock: ai_lock
+	auto_undo: auto_undo
+	undo: undo
+	GridLayout:
+		cols: 7
+		rows: 1
+		size_hint: 1, 0.05
+        Label:
+            size_hint: 0.01, 1
+		BoxLayout:
+		    orientation: 'vertical'
+			size_hint: 0.1, 0.5
+			Label:
+			    size_hint: 1, 0.2
+			DarkLabel:
+			    pos: self.parent.pos[0] + self.width * 0.1, self.parent.pos[1]
+			    size_hint: 1, 0.4
+			    text: 'B'
+			    color: 0.95,0.95,0.95,1
+				font_size: min(self.height,self.width) * 0.6
+                halign: 'center'
+                valign: 'center'
+                bold: True
+                canvas.before:
+                    Color:
+                        rgba: 0.05,0.05,0.05,1
+                    Ellipse:
+                        pos: self.pos[0] + self.width/2 - min(self.height,self.width) * 0.48, self.pos[1]  + self.height/2 - min(self.height,self.width) * 0.48
+                        size: min(self.height,self.width) * 0.96, min(self.height,self.width) * 0.96
+			DarkLabel:
+			    size_hint: 1, 0.4
+			    text: 'W'
+                halign: 'center'
+                valign: 'center'
+				font_size: min(self.height,self.width) * 0.6
+                bold: True
+                canvas.after:
+                    Color:
+                        rgba: 0.05,0.05,0.05,1
+                    Line:
+                        circle: self.pos[0] + self.width/2, self.pos[1] + self.height/2, min(self.height,self.width)*0.45
+                        width: 1.1
+		BWCheckBoxHint:
+			size_hint: 0.2, 0.5
+			id: eval
+			text: 'eval'
+			default_active: True
+			on_active: root.parent.board.redraw()
+		BWCheckBoxHint:
+			size_hint: 0.2, 0.5
+			id: hints
+			text: 'hints'
+			on_active: root.parent.board.redraw()
+		BWCheckBoxHint:
+			size_hint: 0.2, 0.5
+			id: auto_undo
+			text: 'undo'
+			on_active: root.parent.board.redraw()
+		CheckBoxHint:
+			size_hint: 0.2, 0.5
+			text: 'lock\nai'
+			id: ai_lock
+			on_active: self.checkbox.disabled = hints.black.disabled = hints.white.disabled = ai_move.disabled = auto_undo.black.disabled = auto_undo.white.disabled = ai_auto.checkbox.disabled = True
+		CheckBoxHint:
+			size_hint: 0.2, 0.5
+			id: ownership
+			text: 'show\nowner'
+			on_active: root.parent.board.redraw()
+	GridLayout:
+		cols: 4
+		rows: 1
+		size_hint: 1, 0.05
+		StyledButton:
+		    id: ai_move
+			size_hint: 0.5, 0.5
+			text: 'AI Move'
+			on_press: root.action("aimove")
+		CheckBoxHint:
+			size_hint: 0.166, 0.5
+			text: 'auto\nmove'
+			id: ai_auto
+			default_active: False
+		CheckBoxHint:
+			size_hint: 0.166, 0.5
+			text: 'balance\nscore'
+			id: ai_balance
+			default_active: True
+		CheckBoxHint:
+			size_hint: 0.166, 0.5
+			text: 'fast'
+			id: ai_fast
+			default_active: True
+	GridLayout:
+		cols: 2
+		rows: 1
+		size_hint: 1, 0.05
+		StyledButton:
+		    id: undo
+			text: 'Undo'
+			on_press: root.action("undo")
+			default_active: True
+		StyledButton:
+			text: 'Pass'
+			on_press: root.action("play",(None,None))
+    CensorableLabel:
+        id: temperature
+        size_hint: 1, 0.025
+        label: 'Temperature'
+        text: '...'
+    CensorableLabel:
+        id: evaluation
+        size_hint: 1, 0.025
+        label: 'Evaluation'
+        text: '...'
+    CensorableLabel:
+        id: score
+        size_hint: 1, 0.025
+        label: 'Score'
+        text: '...'
+	TextInput:
+		id: info
+		size_hint: 1, 0.2
+		valign: 'middle'
+	BoxLayout:
+		orientation: 'horizontal'
+		size_hint: 1, 0.05
+		StyledButton:
+			text: 'Save'
+			size_hint: 0.37, 1
+			on_press: info.text = root.sgf()
+		StyledButton:
+			text: 'Analyze'
+			size_hint: 0.49, 1
+			margin: (0,1)
+			on_press: root.action("analyze-sgf",info.text)
+	GridLayout:
+		size_hint: 1, 0.05
+		cols: 4
+		rows: 1
+		LargeLabel:
+			size_hint: 0.3, 0.25
+			text: ' New\nGame'
+			font_size: 0.3*self.size[1]
+		StyledButton:
+			size_hint: 0.233, 1
+			text: '9'
+			margin: (1,1)
+			on_press: root.restart(9)
+		StyledButton:
+			size_hint: 0.233, 1
+			text: '13'
+			margin: (0,1)
+			on_press: root.restart(13)
+		StyledButton:
+			size_hint: 0.233, 1
+			text: '19'
+			margin: (1,1)
+			on_press: root.restart(19)
+
+<KaTrainGui>:
+	board: board
+	controls: controls
+    canvas.before:
+        Color:
+            rgba: 0.95, 0.95, 0.95, 1
+        Rectangle:
+            pos: self.pos
+            size: self.size	
+    Badukpan:
+		id: board
+        pos_hint: {"x":0, "top":0}
+    EngineControls:
+		id: controls
+        pos_hint: {"right":1, "top":1}
+		size_hint: (self.parent.width - self.parent.height)/self.parent.width, 1
+
diff --git a/katrain.py b/katrain.py
new file mode 100644
index 0000000..f2bc3df
--- /dev/null
+++ b/katrain.py
@@ -0,0 +1,191 @@
+from kivy.app import App
+from kivy.graphics import *
+from kivy.properties import NumericProperty, ObjectProperty
+from kivy.uix.floatlayout import FloatLayout
+from kivy.uix.widget import Widget
+
+import math
+
+from controller import Config
+from move import Move
+from kivyutils import *
+
+# (;GM[1]SZ[9]KM[7.5]RU[JP];B[fe];W[de];B[ec];W[dc];B[eg];W[dg];B[dh];W[ed];B[fd];W[ef];B[ff];W[eb];B[fc];W[eh];B[fg];W[ch];B[ee];W[df];B[dd];W[cd];B[db];W[cc];B[cb];W[fb];B[gb];W[bb];B[ea];W[ca];B[fa];W[fh];B[gh];W[ba];B[fi];W[di];B[da];W[ed];B[bc];W[bd];B[dd];W[ei];B[gi];W[ed])
+# (;GM[1]SZ[19]KM[7.5]RU[JP];B[qd];W[pp];B[cd];W[cp];B[ec];W[od];B[oc];W[nc];B[pc];W[nd];B[qf];W[jc];B[eq];W[do];B[hq];W[jq];B[cr];W[qn];B[cj];W[cl];B[nq];W[oq];B[np];W[lp];B[cg];W[nn];B[lr];W[kq];B[mo];W[kn];B[qi];W[mn];B[hc];W[qk];B[lc];W[je];B[jb];W[kb];B[kc];W[ib];B[jd];W[ja];B[lb];W[id];B[kd];W[ic];B[oj];W[pd];B[qe];W[qc];B[qb];W[rc];B[rb];W[pb];B[ob];W[nb];B[pa];W[lf];B[la];W[ma];B[mj];W[nk];B[ge];W[hd];B[hg];W[fc];B[fb];W[gc];B[ed];W[og];B[of];W[nf];B[pg];W[fq];B[fp];W[er];B[fr];W[dq];B[gq];W[dr];B[eo];W[en];B[fn];W[fm];B[gn];W[gm];B[dn];W[em];B[co];W[dp];B[hn];W[ep];B[fq];W[fj];B[jo];W[jn];B[jr];W[kr];B[hr];W[fo];B[js];W[ks];B[iq];W[io];B[ng];W[mg];B[oh];W[ne];B[hm];W[hl];B[fg];W[ip];B[go];W[gs];B[fs];W[ok];B[mh];W[lh];B[li];W[hp];B[im];W[hs];B[il];W[ir];B[ke];W[kf];B[gp];W[bk];B[kl];W[bj];B[lo];W[ko];B[ll];W[ml];B[rj];W[rk];B[kh];W[ci];B[lg];W[if];B[hk];W[ei];B[gi];W[bg];B[bh];W[ch];B[bf];W[dg];B[cf];W[df];B[pj];W[pk];B[sk];W[sl];B[sj];W[rl];B[gb];W[hb];B[gl];W[fl];B[gj];W[de];B[bi];W[ai];B[ag];W[dd];B[dc];W[ce];B[be];W[cc];B[bd];W[qj];B[ri];W[eh];B[lm];W[ln];B[jg];W[jf];B[mf];W[me];B[ig];W[mk];B[lk];W[nj];B[ni];W[eo];B[mm];W[nm];B[fd];W[gd];B[hf];W[ga];B[ea];W[jm];B[jl];W[pe];B[fh];W[fi];B[es];W[ds];B[fk];W[ek];B[gk];W[mb];B[eg];W[oa];B[na];W[fe];B[he];W[oa];B[pb];W[ee];B[cb];W[ie];B[ff];W[dh];B[pf];W[mg];B[ej];W[dj];B[kg];W[mf];B[in];W[jp];B[na];W[aj];B[ah];W[oa];B[pq];W[or];B[na];W[ha];B[oa];W[fa];B[eb];W[];B[gr];W[is];B[oe];W[ho];B[km];W[ef])
+
+COLORS = Config.get("ui")["stones"]
+GHOST_ALPHA = Config.get("ui")["ghost_alpha"]
+
+
+class Badukpan(Widget):
+    def __init__(self, **kwargs):
+        super(Badukpan, self).__init__(**kwargs)
+        self.ghost_stone = []
+        self.gridpos = []
+        self.grid_size = 0
+        self.stone_size = 0
+        self.last_eval = 0
+        self.EVAL_COLORS = Config.get("ui")["eval_colors"]
+        self.EVAL_KNOTS = Config.get("ui")["eval_knots"]
+        self.EVAL_BOUNDS = Config.get("ui")["eval_bounds"]
+
+    # stone placement functions
+    def _find_closest(self, pos):
+        return sorted([(abs(p - pos), i) for i, p in enumerate(self.gridpos)])[0]
+
+    def on_touch_down(self, touch):
+        xd, xp = self._find_closest(touch.x)
+        yd, yp = self._find_closest(touch.y)
+        prevghost = self.ghost_stone
+        if self.engine.ready and max(yd, xd) < self.grid_size / 2 and (xp, yp) not in [(x, y) for _, x, y in self.engine.stones]:
+            self.ghost_stone = (xp, yp)
+        else:
+            self.ghost_stone = None
+        if prevghost != self.ghost_stone:
+            self.redraw()
+
+    def on_touch_move(self, touch):  # on_motion on_touch_move
+        return self.on_touch_down(touch)
+
+    def on_touch_up(self, touch):
+        if self.ghost_stone:
+            self.engine.action("play", self.ghost_stone)
+        self.ghost_stone = None
+        self.redraw()
+
+    # drawing functions
+    def on_size(self, *args):
+        self.draw_board()
+        self.redraw()
+
+    def draw_stone(self, x, y, col, innercol=None, evalcol=None, evalsize=10.0):
+        draw_circle((self.gridpos[x], self.gridpos[y]), self.stone_size, col)
+        if evalcol:
+            evalsize = min(self.EVAL_BOUNDS[1], max(evalsize, self.EVAL_BOUNDS[0])) / self.EVAL_BOUNDS[1]
+            draw_circle((self.gridpos[x], self.gridpos[y]), math.sqrt(evalsize) * self.stone_size * 0.5, evalcol)
+        if innercol:
+            Color(*innercol)
+            Line(circle=(self.gridpos[x], self.gridpos[y], self.stone_size * 0.45 / 0.85), width=1.75)
+
+    def _eval_spectrum(self, score):
+        score = max(0, score)
+        for i in range(len(self.EVAL_KNOTS) - 1):
+            if self.EVAL_KNOTS[i] <= score < self.EVAL_KNOTS[i + 1]:
+                t = (score - self.EVAL_KNOTS[i]) / (self.EVAL_KNOTS[i + 1] - self.EVAL_KNOTS[i])
+                return [a + t * (b - a) for a, b in zip(self.EVAL_COLORS[i], self.EVAL_COLORS[i + 1])]
+        return self.EVAL_COLORS[-1]
+
+    def draw_board(self):
+        self.canvas.before.clear()
+        with self.canvas.before:
+            # board
+            sz = self.height
+            Color(*Config.get("ui")["board_color"])
+            board = Rectangle(pos=(0, 0), size=(sz, sz))
+
+            # grid lines
+            margin = Config.get("ui")["board_margin"]
+            self.grid_size = board.size[0] / (self.engine.boardsize - 1 + 1.5 * margin)
+            self.stone_size = self.grid_size * Config.get("ui")["stone_size"]
+            self.gridpos = [math.floor((margin + i) * self.grid_size + 0.5) for i in range(self.engine.boardsize)]
+
+            line_color = Config.get("ui")["line_color"]
+            Color(*line_color)
+            lo, hi = self.gridpos[0], self.gridpos[-1]
+            for i in range(self.engine.boardsize):
+                Line(points=[(self.gridpos[i], lo), (self.gridpos[i], hi)])
+                Line(points=[(lo, self.gridpos[i]), (hi, self.gridpos[i])])
+
+            # star points
+            star_point_pos = 3 if self.engine.boardsize <= 11 else 4
+            starpt_size = self.grid_size * Config.get("ui")["starpoint_size"]
+            for x in [star_point_pos - 1, self.engine.boardsize - star_point_pos, int(self.engine.boardsize / 2)]:
+                for y in [star_point_pos - 1, self.engine.boardsize - star_point_pos, int(self.engine.boardsize / 2)]:
+                    draw_circle((self.gridpos[x], self.gridpos[y]), starpt_size, line_color)
+
+            # coordinates
+            Color(0.25, 0.25, 0.25)
+            for i in range(self.engine.boardsize):
+                draw_text(pos=(self.gridpos[i], lo / 2), text=Move.GTP_COORD[i], font_size=self.grid_size / 1.5)
+                draw_text(pos=(lo / 2, self.gridpos[i]), text=str(i + 1), font_size=self.grid_size / 1.5)
+
+    def redraw(self):
+        self.canvas.clear()
+        with self.canvas:
+            # stones
+            last_move = self.engine.moves[-1].coords
+            eval_map = {m.coords: (m.evaluation, m.previous_temperature) for m in self.engine.moves}
+            eval_on = [self.engine.eval.active(0), self.engine.eval.active(1)]
+            has_stone = {}
+            for i, (ci, x, y) in enumerate(self.engine.stones):
+                has_stone[(x, y)] = ci
+                eval, evalsize = eval_map.get((x, y), (None, None))
+                evalcol = self._eval_spectrum(eval) if eval_on[ci] and eval else None
+                inner = COLORS[1 - ci] if ((x, y) == last_move) else None
+                self.draw_stone(x, y, COLORS[ci], inner, evalcol, evalsize)
+
+            # ownership
+            ownership = self.engine.moves[-1].ownership
+            if self.engine.ownership.active and ownership:
+                rsz = self.grid_size * 0.2
+                ix = 0
+                cp = self.engine.current_player
+                for y in range(self.engine.boardsize - 1, -1, -1):
+                    for x in range(self.engine.boardsize):
+                        ix_owner = cp if ownership[ix] > 0 else 1 - cp
+                        if ix_owner != (has_stone.get((x, y), -1)):
+                            Color(*COLORS[ix_owner], abs(ownership[ix]))
+                            Rectangle(pos=(self.gridpos[x] - rsz / 2, self.gridpos[y] - rsz / 2), size=(rsz, rsz))
+                        ix = ix + 1
+
+            # undos
+            undo_coords = set()
+            alpha = Config.get("ui")["undo_alpha"]
+            for m in self.engine.moves[-1].undos:
+                if m.evaluation and m.coords[0] is not None:
+                    undo_coords.add(m.coords)
+                    evalcol = (*self._eval_spectrum(m.evaluation), alpha)
+                    self.draw_stone(m.coords[0], m.coords[1], (*COLORS[m.player][:3], alpha), Config.get("ui")["undo_circle_col"], evalcol, self.EVAL_BOUNDS[1])
+
+            # hints
+            if self.engine.moves[-1].analysis and self.engine.hints.active(self.engine.current_player):
+                for d in self.engine.moves[-1].analysis:
+                    move = Move(gtpcoords=d["move"], player=0)
+                    c = [*self._eval_spectrum(d["evaluation"]), 0.5]
+                    if move.coords[0] is not None and move.coords not in undo_coords:
+                        self.draw_stone(move.coords[0], move.coords[1], c)
+
+            # hover next move ghost stone
+            if self.ghost_stone:
+                self.draw_stone(*self.ghost_stone, (*COLORS[self.engine.current_player], GHOST_ALPHA))
+
+            # pass circle
+            passed = len(self.engine.moves) > 1 and self.engine.moves[-1].gtp() == "pass"
+            if passed:
+                if len(self.engine.moves) > 2 and self.engine.moves[-2].gtp() == "pass":
+                    text = "game\nend"
+                else:
+                    text = "pass"
+                Color(0.45, 0.05, 0.45, 0.5)
+                center = self.gridpos[int(self.engine.boardsize / 2)]
+                Ellipse(pos=(center - self.grid_size * 1.5, center - self.grid_size * 1.5), size=(self.grid_size * 3, self.grid_size * 3))
+                Color(0.15, 0.15, 0.15)
+                draw_text(pos=(center, center), text=text, font_size=self.grid_size * 0.66, halign="center", outline_color=[0.95, 0.95, 0.95])
+
+
+class KaTrainGui(FloatLayout):
+    pass
+
+
+class KaTrainApp(App):
+    def build(self):
+        self.icon = "./icon.png"
+        self.gui = KaTrainGui()
+        return self.gui
+
+    def on_start(self):
+        self.gui.controls.restart()
+
+
+if __name__ == "__main__":
+    KaTrainApp().run()
diff --git a/kivyutils.py b/kivyutils.py
new file mode 100644
index 0000000..4aa6d68
--- /dev/null
+++ b/kivyutils.py
@@ -0,0 +1,41 @@
+from kivy.core.text import Label as CoreLabel
+from kivy.graphics import *
+from kivy.uix.boxlayout import BoxLayout
+
+
+class CheckBoxHint(BoxLayout):
+    __events__ = ("on_active",)
+
+    @property
+    def active(self):
+        return self.checkbox.active
+
+    def on_active(self, *args):
+        pass
+
+
+class BWCheckBoxHint(BoxLayout):
+    __events__ = ("on_active",)
+
+    def active(self, player):
+        return [self.black, self.white][player].active
+
+    def on_active(self, *args):
+        pass
+
+
+class CensorableLabel(BoxLayout):
+    @property
+    def text(self):
+        return self.value.text
+
+
+def draw_text(pos, text, **kw):
+    label = CoreLabel(text=text, bold=True, **kw)
+    label.refresh()
+    Rectangle(texture=label.texture, pos=(pos[0] - label.texture.size[0] / 2, pos[1] - label.texture.size[1] / 2), size=label.texture.size)
+
+
+def draw_circle(pos, r, col):
+    Color(*col)
+    Ellipse(pos=(pos[0] - r, pos[1] - r), size=(2 * r, 2 * r))
diff --git a/models/b10.gz b/models/b10.gz
new file mode 100644
index 0000000..c984a32
Binary files /dev/null and b/models/b10.gz differ
diff --git a/move.py b/move.py
new file mode 100644
index 0000000..395cc93
--- /dev/null
+++ b/move.py
@@ -0,0 +1,82 @@
+from kivy.storage.jsonstore import JsonStore
+
+
+class Move:
+    GTP_COORD = "ABCDEFGHJKLMNOPQRSTUVWYXYZ"
+    PLAYERS = "BW"
+    SGF_COORD = [chr(i) for i in range(97, 123)]
+
+    def __init__(self, player, coords=None, gtpcoords=None, sgfcoords=None, robot=False):
+        self.player = player
+        self.robot = robot
+        self.coords = coords or (gtpcoords and self.gtp2ix(gtpcoords)) or self.sgf2ix(sgfcoords)
+        self.analysis = None
+        self.outdated_evaluation = None
+        self.pass_analysis = None
+        self.evaluation = None
+        self.ownership = None
+        self.points_lost = 0
+        self.previous_temperature = None
+        self.undos = []
+        self.comment = ""
+
+    def __repr__(self):
+        return f"{Move.PLAYERS[self.player]}{self.gtp()}"
+
+    def temperature(self):
+        if self.analysis:
+            best_score = float(self.analysis[0]["scoreMean"])
+            worst_score = -float(self.pass_analysis[0]["scoreMean"])
+            return best_score - worst_score
+        else:
+            return 0
+
+    def evaluate(self, previous_move):
+        best_score = float(previous_move.analysis[0]["scoreMean"])
+        worst_score = -float(previous_move.pass_analysis[0]["scoreMean"])
+        last_move_score = -float(self.analysis[0]["scoreMean"])
+        self.previous_temperature = best_score - worst_score
+        self.points_lost = best_score - last_move_score
+        prev_analysis_current_move = [d for d in previous_move.analysis if d["move"] == self.gtp()]
+
+        if abs(self.previous_temperature) > 0.5:
+            self.evaluation = (last_move_score - worst_score) / (best_score - worst_score)
+            self.move_options = [previous_move.analysis[0]["scoreMean"]]
+        else:
+            self.evaluation = None
+        if self.evaluation:
+            self.comment = f"Evaluation: {100*self.evaluation:.1f}%{' (AI Move)' if self.robot else ''}\n"
+            if prev_analysis_current_move:
+                self.outdated_evaluation = (prev_analysis_current_move[0]["scoreMean"] - worst_score) / (best_score - worst_score)
+                self.comment += f"(Was considered last move as: {100 * self.outdated_evaluation:.1f}%)\n"
+        else:
+            self.comment = "Temperature too low for evaluation\n"
+        self.comment += f"Estimate point loss: {self.points_lost:.1f}\n"
+        self.comment += f"Last move score was {last_move_score:.1f}\n"
+        self.comment += f"Score of top move was {previous_move.analysis[0]['scoreMean']:.1f} @ {previous_move.analysis[0]['move']}\n"
+        self.comment += f"Pass score was {worst_score:.1f}\n"
+
+    def gtp2ix(self, gtpmove):
+        if "pass" in gtpmove:
+            return (None, None)
+        return Move.GTP_COORD.index(gtpmove[0]), int(gtpmove[1:]) - 1
+
+    def sgf2ix(self, sgfmove_with_boardsize):
+        sgfmove, boardsize = sgfmove_with_boardsize
+        if sgfmove == "":
+            return (None, None)
+        return Move.SGF_COORD.index(sgfmove[0]), boardsize - Move.SGF_COORD.index(sgfmove[1]) - 1
+
+    def gtp(self):
+        if self.coords[0] is None:
+            return "pass"
+        return Move.GTP_COORD[self.coords[0]] + str(self.coords[1] + 1)
+
+    def sgfcoords(self, boardsize):
+        return f"{Move.SGF_COORD[self.coords[0]]}{Move.SGF_COORD[boardsize - self.coords[1] - 1]}"
+
+    def sgf(self, boardsize):
+        if self.coords[0] is None:
+            return f"{Move.PLAYERS[self.player]}[]"
+        else:
+            return f"{Move.PLAYERS[self.player]}[{self.sgfcoords(boardsize)}]"