Upload 2 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("rice.h5")
+
+def process_image(img):
+    img=img.resize((70,70))
+    img=np.array(img)
+    img=img/155.0
+    img=np.expand_dims(img,axis=0)  # Modelin boyutunu arttırıyor
+    return img
+
+st.title("Pirinc siniflandirma")
+st.write("Resim sec ve model hangi tur pirinc oldugunu tahmin etsin")
+
+file = st.file_uploader("Bir resim sec",type=["jpeg","jpg","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={
+               0: 'Arborio',
+               1: 'Basmati', 
+               2: 'Ipsala',
+               3: 'Jasmine',
+               4: 'Karacadag'
+            }
+
+st.write(class_names[predicted_class])

rice.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7d5cf2f15037af1fb1d20124459578140fc5e4eb09d4e574b311089493a042d6
+size 25999240