Update classifier.py

classifier.py

@@ -1,6 +1,7 @@
 import matplotlib.pyplot as plt
 import numpy as np
 import cv2
+from PIL import Image 
 import streamlit as st
 import tensorflow as tf
 from sklearn.metrics import f1_score
@@ -12,11 +13,12 @@ from tensorflow.keras.models import load_model
 
   #  copied_image2 = original_image.copy()
   #img = cv2.imread('car3.jpg')
+from PIL import Image 
 
 
-def my_function(img):
-
+def my_function(uploaded_file):
 
+img = uploaded_file.copy() 
 
   # Loads the data required for detecting the license plates from cascade classifier.
   plate_cascade = cv2.CascadeClassifier('indian_license_plate.xml')
@@ -218,8 +220,8 @@ def run():
 
         # Check if any file is uploaded
         if uploaded_files:
-            for img in uploaded_files:
-                st.write("filename:", img.name)
+            for uploaded_file in uploaded_files:
+                st.write("filename:", uploaded_file.name)
                 my_function()
         # Close the form
         submitted = st.form_submit_button('Recognize')