make space

app.py

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+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)

model_classifer.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2555dfaa038030c97c377fd582f4b72a0572d929c3d958008ea16de689d139fc
+size 143462688

requirements.txt

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+tensorflow
+numpy
+streamlit
+pillow