Upload app.py

app.py

@@ -0,0 +1,31 @@
+import streamlit as st
+from tensorflow.keras.models import load_model
+from PIL import Image
+import numpy as np
+
+model=load_model("cinsiyet_2.h5")
+
+def process_image(img):
+    img=img.resize((224,224))
+    img=np.array(img)
+    img=img/255.0
+    img=np.expand_dims(img,axis=0)
+    return img
+
+st.title("Cinsiyet tahmin modeli")
+st.write("Resim sec model kadın mı erkek mi 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={1:"women",
+             0:"men"
+            } 
+
+st.write(class_names[predicted_class])