Update classifier.py

classifier.py

@@ -10,9 +10,11 @@ from tensorflow.keras.preprocessing.image import ImageDataGenerator
 from tensorflow.keras.layers import Dense, Flatten, MaxPooling2D, Dropout, Conv2D
 from tensorflow.keras.models import load_model
 
+  #  copied_image2 = original_image.copy()
+  #img = cv2.imread('car3.jpg')
 
 
-def my_function():
+def my_function(img):
 
 
 
@@ -46,7 +48,6 @@ def my_function():
     plt.title(title)
     plt.show()
 
-  img = cv2.imread('car3.jpg')
 
 
   # Getting plate prom the processed image
@@ -217,15 +218,15 @@ def run():
 
         # Check if any file is uploaded
         if uploaded_files:
-            for uploaded_file in uploaded_files:
-                st.write("filename:", uploaded_file.name)
+            for img in uploaded_files:
+                st.write("filename:", img.name)
                 my_function()
         # Close the form
         submitted = st.form_submit_button('Recognize')
         
     
     if submitted:
-        my_function()
+        my_function(img)
         
         
 if __name__ == '__main__':