Update app.py

app.py

@@ -3,7 +3,9 @@ import base64
 import streamlit as st
 from PIL import Image
 import numpy as np
-from keras.models import model_from_json 
+from keras.models import model_from_json
+import subprocess
+
 
 st.markdown('<h1 style="color:white;">Image Classification App</h1>', unsafe_allow_html=True)
 st.markdown('<h2 style="color:white;">for classifying **zebras** and **horses**</h2>', unsafe_allow_html=True)
@@ -45,13 +47,14 @@ set_png_as_page_bg('background.webp')
 #     #model= tf.keras.load_model('model.h5')
 #     #CNN_class_index = json.load(open(f"{os.getcwd()}F:\Machine Learning Resources\ZebraHorse\model.json"))
 #     return model, CNN_class_index
+
 def load_model():
     # Load the model architecture
-    with open('model.json', 'r') as f:
+    with open('https://github.com/KaburaJ/Binary-Image-classification/blob/main/ZebraHorse/CNN%20Application/model.json', 'r') as f:
         model = model_from_json(f.read())
 
     # Load the model weights
-    model.load_weights('model.h5')
+    model.load_weights('https://github.com/KaburaJ/Binary-Image-classification/blob/main/ZebraHorse/CNN%20Application/model.h5')
     #CNN_class_index = json.load(open(f"{os.getcwd()}F:\Machine Learning Resources\ZebraHorse\model.json"))
     return model