instead of reversing the array, the indices are changed in the get coordinate funciton

app.py

@@ -11,8 +11,8 @@ FEN_MAPPING = {
     "black-pawn": "p", "black-rook": "r", "black-knight": "n", "black-bishop": "b", "black-queen": "q", "black-king": "k",
     "white-pawn": "P", "white-rook": "R", "white-knight": "N", "white-bishop": "B", "white-queen": "Q", "white-king": "K"
 }
-GRID_BORDER = 10  # Border size in pixels
-GRID_SIZE = 204  # Effective grid size (10px to 214px)
+GRID_BORDER = 5  # Border size in pixels
+GRID_SIZE = 214  # Effective grid size (10px to 214px)
 BLOCK_SIZE = GRID_SIZE // 8  # Each block is ~25px
 X_LABELS = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h']  # Labels for x-axis (a to h)
 Y_LABELS = [8, 7, 6, 5, 4, 3, 2, 1]  # Reversed labels for y-axis (8 to 1)
@@ -25,8 +25,8 @@ def get_grid_coordinate(pixel_x, pixel_y, perspective):
     The perspective argument can adjust for white ('w') or black ('b') viewpoint.
     """
     # Grid settings
-    border = 10  # 10px border
-    grid_size = 204  # Effective grid size (10px to 214px)
+    border = 5  # 10px border
+    grid_size = 214  # Effective grid size (10px to 214px)
     block_size = grid_size // 8  # Each block is ~25px
 
     x_labels = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h']  # Labels for x-axis (a to h)
@@ -49,13 +49,13 @@ def get_grid_coordinate(pixel_x, pixel_y, perspective):
 
     # Adjust labels based on perspective
     if perspective == "b":
-        x_labels = x_labels[::-1]  # Flip x-axis for black's perspective
-        y_labels = y_labels[::-1]  # Flip y-axis for black's perspective
+        x_index = 7 - x_index  # Flip x-axis for black's perspective
+        y_index = 7- y_index  # Flip y-axis for black's perspective
 
-    x_label = x_labels[x_index]
-    y_label = y_labels[y_index]
+    file = x_labels[x_index]
+    rank = y_labels[y_index]
 
-    return f"{x_label}{y_label}"
+    return f"{file}{rank}"
 
 
 def predict_next_move(fen, stockfish):
@@ -72,11 +72,6 @@ def predict_next_move(fen, stockfish):
 
         
 
-
-
-
-
-
 def main():
     st.title("Chessboard Position Detection and Move Prediction")
 
@@ -117,7 +112,7 @@ def main():
         board = [["8"] * 8 for _ in range(8)]
 
         # Run detection
-        results = model.predict(source=image, save=False, save_txt=False, conf=0.6)
+        results = model.predict(source=image, save=False, save_txt=False, conf=0.7)
 
         # Extract predictions and map to FEN board
         for result in results[0].boxes: