Update app.py

app.py

@@ -95,6 +95,7 @@ else:
     #plt. figure(figsize=(10,9))
     def occ_predict(imgpath):
         im = []
+        imgpath = str(imgpath)
         image=cv2.imread(imgpath)
         st.write(type(image))
         #imgplot = plt.imshow(image)
@@ -128,12 +129,12 @@ else:
         #stringio = StringIO(f.getvalue())
         #f = stringio.read()
         image1= Image.open(f)
-        st.write(type(image1))
+        st.write(type(f.name))
         st.image(image1,use_column_width = True)
         #image_path = Path(f.name)
         #st.write(image_path)
         
-        predicted_label,variance_score = occ_predict(str(f.name))
+        predicted_label,variance_score = occ_predict(f.name)
         #st.header(predicted_label)
         #st.header(str(round(variance_score,2)))
         string1 = "The image is," + predicted_label + " with the score value of  " + str(round(variance_score,2))