| import streamlit as st |
| from tensorflow.keras.models import load_model |
| from PIL import Image |
| import numpy as np |
|
|
| model=load_model('src/fruit_vegetable.h5') |
|
|
| def process_image(img): |
| img=img.resize((240,240)) |
| img=np.array(img) |
| img=img/255.0 |
| img=np.expand_dims(img,axis=0) |
| return img |
|
|
| st.title("Meyve/Sebze sınıflandırma") |
| st.write("Resmini yükle ve model meyve/sebze ismini tahmin etsin") |
|
|
| file=st.file_uploader('Bir resim sec',type=['jpg','jpeg','png']) |
|
|
| if file is not None: |
| img=Image.open(file) |
| st.image(img,caption='Meyve/Sebze') |
| image= process_image(img) |
| prediction=model.predict(image) |
| predicted_class=np.argmax(prediction) |
| |
| class_names=['capsicum','sweetcorn','orange','tomato','turnip','ginger','raddish','pomegranate','pineapple', |
| 'jalepeno','apple','carrot','lettuce','bell pepper','eggplant','beetroot','kiwi','pear', |
| 'cabbage','cauliflower','paprika','lemon','sweetpotato','grapes','cucumber','corn','banana', |
| 'garlic','chilli pepper','watermelon','mango','peas','onion','potato','spinach','soy beans'] |
| st.write(class_names[predicted_class]) |
|
|
