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Update app.py
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app.py
CHANGED
@@ -3,11 +3,13 @@ import gradio as gr
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from llama_cpp import Llama
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from huggingface_hub import hf_hub_download
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import numpy as np
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model = Llama(
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model_path=hf_hub_download(
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repo_id=os.environ.get("REPO_ID", "Lyte/QuadConnect2.5-0.5B-v0.0.6b")
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filename=os.environ.get("MODEL_FILE", "quadconnect.Q8_0.gguf")
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),
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n_ctx=16384
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)
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@@ -35,11 +37,95 @@ Specify the column letter (a–g) for your next move.
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</move>
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"""
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class ConnectFour:
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def __init__(self):
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self.board = np.zeros((6, 7))
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self.current_player = 1 # 1 for player (X), 2 for AI (O)
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self.game_over = False
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def make_move(self, col):
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if self.game_over:
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@@ -47,9 +133,17 @@ class ConnectFour:
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# Find the lowest empty row in the selected column
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for row in range(5, -1, -1):
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if self.board[row][col] == 0:
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self.board[row][col] = self.current_player
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-
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return False, -1
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def check_winner(self):
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@@ -96,7 +190,17 @@ class ConnectFour:
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row_num = str(6 - row) # Convert to 1-based indexing
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piece = "X" if self.board[row][col] == 1 else "O"
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moves.append(f"{col_letter}{row_num}({piece})")
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return ", ".join(moves) if moves else ""
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def parse_ai_move(self, move_str):
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# Parse move like 'a', 'b', etc.
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@@ -107,6 +211,25 @@ class ConnectFour:
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return -1
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except:
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return -1
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def create_interface():
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game = ConnectFour()
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@@ -228,15 +351,15 @@ def create_interface():
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# AI move
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game.current_player = 2
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board_state = game.board_to_string()
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-
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# Get AI response
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response = model.create_chat_completion(
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messages=[
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{"role": "system", "content": SYSTEM_PROMPT},
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{"role": "user", "content":
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],
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temperature=0.8,
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top_p=0.95,
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@@ -249,7 +372,11 @@ def create_interface():
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# Extract reasoning and move
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try:
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reasoning = ai_response.split("<reasoning>")[1].split("</reasoning>")[0].strip()
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move_str = ai_response
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ai_col = game.parse_ai_move(move_str)
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if ai_col == -1:
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@@ -298,6 +425,8 @@ def create_interface():
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game.board = np.zeros((6, 7))
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game.current_player = 1
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game.game_over = False
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return [
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render_board(),
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"Your turn! Click a button to drop your piece!",
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from llama_cpp import Llama
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from huggingface_hub import hf_hub_download
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import numpy as np
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from typing import List
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import re
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model = Llama(
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model_path=hf_hub_download(
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repo_id=os.environ.get("REPO_ID", "Lyte/QuadConnect2.5-0.5B-v0.0.6b"),
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filename=os.environ.get("MODEL_FILE", "quadconnect.Q8_0.gguf"),
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),
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n_ctx=16384
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)
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</move>
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"""
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def extract_xml_move(text: str) -> str:
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"""
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Extracts the move (a single column letter a–g) from the XML format
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using regex.
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"""
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match = re.search(r'<move>\s*([a-g])\s*</move>', text)
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if match:
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return match.group(1)
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return ""
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def convert_moves_to_coordinate_list(moves_list: List[str]) -> str:
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"""
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Converts a list of moves to a coordinate list representation.
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Each move is formatted as <column><row>(<piece>).
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Returns "Empty Board" if no moves are present.
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"""
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# Create an empty 6x7 grid (row 1 is at index 0)
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grid = [['.' for _ in range(7)] for _ in range(6)]
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for i, move in enumerate(moves_list):
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if not move:
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continue
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col = ord(move[0]) - ord('a')
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# Find the lowest available row in this column:
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for row in range(6):
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if grid[row][col] == '.':
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grid[row][col] = 'X' if i % 2 == 0 else 'O'
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break
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# Build coordinate list: Only include cells with a piece
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coords = []
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for row in range(6):
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for col in range(7):
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if grid[row][col] != '.':
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# Convert row index to board row number (row 0 -> 1, etc.)
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coords.append(f"{chr(col + ord('a'))}{row+1}({grid[row][col]})")
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return ", ".join(coords) if coords else "Empty Board"
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def parse_coordinate_list(board_str: str) -> List[List[str]]:
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"""
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Converts a coordinate list representation (e.g., "a1(O), a2(X), b1(O)")
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into a 6x7 grid (list of lists) with row index 0 as the bottom.
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"""
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grid = [['.' for _ in range(7)] for _ in range(6)]
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if not board_str.strip() or board_str == "Empty Board":
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return grid
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coords = board_str.split(",")
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for coord in coords:
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coord = coord.strip()
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# Expecting format: a1(O)
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if len(coord) < 4:
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continue
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col_letter = coord[0]
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try:
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row_number = int(coord[1])
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except ValueError:
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continue
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piece = coord[3] # The piece inside the parentheses
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col = ord(col_letter) - ord('a')
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row = row_number - 1
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if 0 <= row < 6 and 0 <= col < 7:
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grid[row][col] = piece
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return grid
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def get_available_positions(grid: List[List[str]]) -> str:
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"""Returns the next available position (lowest empty spot) for each column."""
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available = []
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for col in range(7):
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col_letter = chr(ord('a') + col)
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# Search from bottom (row 0) to top (row 5)
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next_pos = None
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for row in range(6):
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if grid[row][col] == '.': # Found empty spot
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next_pos = f"{col_letter}{row + 1}" # +1 because grid is 0-based
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break
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if next_pos: # Only add if column isn't full
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available.append(f"{col_letter}: {next_pos}")
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return "\n ".join(available) # Format with newlines and indentation
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class ConnectFour:
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def __init__(self):
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self.board = np.zeros((6, 7))
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self.current_player = 1 # 1 for player (X), 2 for AI (O)
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self.game_over = False
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self.player_moves = []
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self.ai_moves = []
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def make_move(self, col):
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if self.game_over:
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# Find the lowest empty row in the selected column
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for row in range(5, -1, -1):
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if self.board[5-row][col] == 0: # Flip the row index to match the display
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self.board[5-row][col] = self.current_player
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# Record the move
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move = f"{chr(ord('a') + col)}{row+1}"
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if self.current_player == 1:
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self.player_moves.append(move)
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else:
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self.ai_moves.append(move)
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return True, 5-row
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return False, -1
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def check_winner(self):
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row_num = str(6 - row) # Convert to 1-based indexing
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piece = "X" if self.board[row][col] == 1 else "O"
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moves.append(f"{col_letter}{row_num}({piece})")
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return ", ".join(moves) if moves else "Empty Board"
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def get_grid_from_board(self):
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grid = [['.' for _ in range(7)] for _ in range(6)]
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for row in range(6):
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for col in range(7):
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if self.board[row][col] == 1:
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grid[5-row][col] = 'X' # Convert to the format used by helper functions
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elif self.board[row][col] == 2:
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grid[5-row][col] = 'O'
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return grid
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def parse_ai_move(self, move_str):
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# Parse move like 'a', 'b', etc.
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return -1
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except:
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return -1
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def format_game_state(self):
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board_str = self.board_to_string()
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grid = self.get_grid_from_board()
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available_positions = get_available_positions(grid)
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# Format the player and AI moves
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player_moves_str = ", ".join(self.player_moves) if self.player_moves else ""
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ai_moves_str = ", ".join(self.ai_moves) if self.ai_moves else ""
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return f"""Game State:
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- You are playing as: O
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- Your previous moves: {ai_moves_str}
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- Opponent's moves: {player_moves_str}
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- Current board state: {board_str}
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- Next available position per column:
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{available_positions}
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Make your move."""
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def create_interface():
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game = ConnectFour()
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# AI move
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game.current_player = 2
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# Format game state using the new format
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game_state = game.format_game_state()
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# Get AI response
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response = model.create_chat_completion(
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messages=[
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{"role": "system", "content": SYSTEM_PROMPT},
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{"role": "user", "content": game_state}
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],
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temperature=0.8,
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top_p=0.95,
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# Extract reasoning and move
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try:
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reasoning = ai_response.split("<reasoning>")[1].split("</reasoning>")[0].strip()
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move_str = extract_xml_move(ai_response)
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if not move_str:
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raise ValueError("Invalid move format from AI")
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ai_col = game.parse_ai_move(move_str)
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if ai_col == -1:
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game.board = np.zeros((6, 7))
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game.current_player = 1
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game.game_over = False
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game.player_moves = []
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game.ai_moves = []
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return [
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render_board(),
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"Your turn! Click a button to drop your piece!",
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