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f2303b9 5379b37 f2303b9 df38c6d f2303b9 5379b37 f2303b9 c62add7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | # # import numpy as np
# # import os
# # import matplotlib.pyplot as plt
# # import tensorflow as tf
# # from tqdm import tqdm
# import pickle
# # load the model from disk
# loaded_model = pickle.load(open(https://huggingface.co/spaces/ashutoshsharma58/project1/blob/main/finalized_model.sav, 'rb'))
# # result = loaded_model.score(X_test, Y_test)
# # print(result)
import streamlit as st
from streamlit_option_menu import option_menu
import classifier
st.write('### Vehicle number plate recognition CNN')
st.write('##### This page is created by Himanshu')
st.markdown('---')
selected = option_menu(None, [ "Classifier"],
icons=['house', 'gear-fill'],
menu_icon="cast", default_index=0, orientation="vertical",
styles={
"icon": {"color": "yellow", "font-size": "20px"},
"nav-link": {"font-size": "20px", "text-align": "left", "margin":"1px", "--hover-color": "#eee"},
"nav-link-selected": {"background-color": "grey"}
}
)
selected
if selected == 'Classifier':
classifier.run()
#elif selected == 'Home':
# home.run()
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