Update app.py

app.py

@@ -6,17 +6,17 @@ from tensorflow.keras.models import load_model
 from PIL import Image
 import numpy as np
 import cv2
-model=load_model('rice_class_cnn.h5')
+model=load_model('tr_banknot_model.h5')
 def process_image(img):
-    img=img.resize((224,224))
+    img=img.resize((30,30))
     img=np.array(img)
     img=img/255.0
     img=np.expand_dims(img,axis=0)
     return img
-st.title('prinç sınıflandırma @drmurataltun')
-st.write('Resim sec ve model tahmin etsin')
+st.title('Tr Banknot @drmurataltun')
+st.write('Banknot resmini yükleyin')
 file=st.file_uploader('Bir resim seç', type= ['jpg','jpeg','png'])
-class_names=['Arborio','Basmati','Ipsala','Jasmine','Karacadag']    
+class_names=['5','10','20','50','100', '200']    
 if file is not None:
     img=Image.open(file)
     st.image(img,caption='yuklenen resim')
@@ -24,4 +24,4 @@ if file is not None:
     prediction=model.predict(image)
     predicted_class=np.argmax(prediction)
     st.write(prediction)
-    st.write('Tahmin: ',class_names[predicted_class])
+    st.write('Tahmin:₺',class_names[predicted_class])