app.py

import streamlit as st
from tensorflow.keras.models import load_model
from PIL import Image
import numpy as np

model=load_model("my_cnn_model.h5") #modeli yükledik.

def process_image(img):
    img=img.resize((68,68))
    img=np.array(img)
    img=img/255.0 #normalize ettik
    img=np.expand_dims(img,axis=0)
    return img

st.title("Rice Class Classification")
st.write("Upload a Picture")

file=st.file_uploader("Select an Image",type=["jpg","jpeg","png"])

if file is not None:
    img=Image.open(file)
    st.image(img,caption="Uploaded Image", use_column_width=True)
    image=process_image(img)
    prediction=model.predict(image)
    predicted_class=np.argmax(prediction)

    class_names=["Tahmin Değil","Tahmin"]
    st.write(class_names[predicted_class])