Update app.py

app.py

@@ -7,7 +7,7 @@ from tensorflow.keras.applications.efficientnet import preprocess_input
 import plotly.express as px
 
 # model yükle
-model = tf.keras.models.load_model("efficent_net224B0.h5")
+model = tf.keras.models.load_model("efficent_netB7.h5")
 
 # Etiketler
 waste_labels = {0: 'Fibres', 1: 'Nanowires', 2: 'Particles', 3: 'Powder'}
@@ -23,7 +23,7 @@ uploaded_image = st.file_uploader("SEM Görüntüsünü Yükleyin", type=["jpg",
 
 if uploaded_image is not None:
     # Görüntüyü modelin girdi boyutuna yeniden boyutlandırın
-    img = image.load_img(uploaded_image, target_size=(224, 224))
+    img = image.load_img(uploaded_image, target_size=(600, 600))
     img = image.img_to_array(img)
     img = np.expand_dims(img, axis=0)
     img = preprocess_input(img)