Upload 3 files

app.py

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+import streamlit as st 
+from tensorflow.keras.models import load_model
+from PIL import Image
+import numpy as np
+
+model=load_model('pirinc_cnn_model.h5')
+
+def process_image(img):
+    img=img.resize((50,50)) #boyutunu 50 x 50 pixel yaptik
+    img=np.array(img)
+    img=img/255.0 #normalize ettik
+    img=np.expand_dims(img,axis=0)
+    return img
+
+st.title("Pirinç Resmi Siniflandirma :ear_of_rice:")
+st.write("Pirinç cinsini tahmin etmek için pirinc resmi ekleyin")
+
+file=st.file_uploader('Bir Resim Sec',type=['jpg','jpeg','png'])
+
+if file is not None:
+    img=Image.open(file)
+    st.image(img,caption='yuklenen resim')
+    image= process_image(img)
+    prediction=model.predict(image)
+    predicted_class=np.argmax(prediction)
+    
+    class_names=["Arborio","Basmati","Ipsala","Jasmine","Karacadag"]
+    st.write(class_names[predicted_class])

pirinc_cnn_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ef5cd203a57c61fad97e7c33362fa4cc420c21a63322cdb724baec56e9cd914e
+size 12177264

requirements.txt

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+streamlit
+tensorflow