Upload app.py

app.py

@@ -29,20 +29,18 @@ def preprocess_image(image):
     # Resize the image
     image = cv2.resize(image, IMG_SIZE)
     
-    # Convert the image to grayscale
-    image = cv2.cvtColor(image, cv2.COLOR_RGB2GRAY)
+    # Convert the image to RGB
+    image = cv2.cvtColor(image, cv2.COLOR_GRAY2RGB)
 
     # Convert the image to float32 and normalize
     image = image.astype('float32') / 255.0
     
-    # Add channel dimension
-    image = np.expand_dims(image, axis=-1)
-    
     # Add an extra dimension to simulate batch size of 1
     image = np.expand_dims(image, axis=0)
     
     return image
 
+
  
 def main():
     st.title("Character Recognition")
@@ -67,3 +65,4 @@ if __name__ == "__main__":
     main()
 
 
+