joyride / app.py
lucifertrj
make space
fa5a56f
import streamlit as st
from tensorflow.keras import models,utils
import numpy as np
st.header("Vehicle Check")
img = st.file_uploader("Upload the vehicle Image")
if img:
model = models.load_model("model_classifer.h5")
img = utils.load_img(img,target_size = (224,224,3))
x = utils.img_to_array(img)
x = np.expand_dims(x,axis=0)
target = model.predict(x)
target = np.argmax(target)
if target:
st.markdown("#### The vehicle is in good state")
st.markdown("<span style='color:green'>Regular check up done</span>", unsafe_allow_html=True)
else:
st.markdown("#### The vehicle is in pretty bad state.")
st.markdown("<span style='color:red'>Needs to be inspected</span>", unsafe_allow_html=True)
st.image(img)