Delete app_2.py

app_2.py

@@ -1,35 +0,0 @@
-import streamlit as st
-from tensorflow.keras.models import load_model
-from PIL import Image
-import numpy as np
-
-model=load_model("rice_2.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])