Update app.py

app.py

@@ -1,7 +1,4 @@
 import streamlit as st
-import seaborn as sns
-import matplotlib.pyplot as plt
-import os, random
 import cv2
 from tensorflow.keras.models import load_model
 from PIL import Image
@@ -12,7 +9,7 @@ model = load_model('sudoku_net.h5')
 
 def preprocess(image):
     gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) 
-    # blur = cv2.GaussianBlur(gray, (3,3),6) 
+#     blur = cv2.GaussianBlur(gray, (3,3),6) 
     blur = cv2.bilateralFilter(gray,9,75,75)
     threshold_img = cv2.adaptiveThreshold(blur,255,1,1,11,2)
     return threshold_img
@@ -173,6 +170,7 @@ def main():
         puzzle = Image.open(uploaded_file)
         col1.image(puzzle, use_column_width=True)
         puzzle = np.asarray(puzzle)
+        
         # Resizing puzzle to be solved
         puzzle = cv2.resize(puzzle, (450,450))
         # Preprocessing Puzzle