Files Uploaded

app.py

@@ -0,0 +1,29 @@
+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')
+
+def process_image(img):
+    img=img.resize((170,170)) 
+    img=np.array(img)
+    img=img/255.0 
+    img=np.expand_dims(img,axis=0) #resmi ortaya almasini sagladik
+    return img
+
+st.title('Image Classification of Cancer Image :eye:')
+st.write('Select an image, and the model predicts cancer or not')
+
+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)
+    predictions=model.predict(image)
+    predicted_class=np.argmax(predictions)
+
+    class_names =['Not Cancer','Cancer']
+    st.write(class_names[predicted_class])

my_cnn_model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3013a2600e79245007e510685a1bf7ebdb7ca7a2a3073552c31765e3acd7f2c7
+size 165525592

requirements.txt

@@ -0,0 +1,2 @@
+streamlit
+tensorflow