Upload 4 files

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+model.keras filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,49 @@
+import streamlit as st
+import numpy as np
+import tensorflow as tf
+from tensorflow.keras.models import load_model
+from PIL import Image
+import io
+
+# Modeli yükle
+model = load_model('model.h5')
+
+# Fashion MNIST etiketleri
+class_names = [
+    'T-shirt/top', 'Trouser', 'Pullover', 'Dress', 'Coat',
+    'Sandal', 'Shirt', 'Sneaker', 'Bag', 'Ankle boot'
+]
+
+# Uygulama başlığı
+st.title("Fashion MNIST Tahmin Uygulaması")
+
+# Kullanıcıdan resim yüklemesini iste
+st.sidebar.header("Resim Yükle")
+uploaded_file = st.sidebar.file_uploader("Bir resim dosyası yükleyin", type=["jpg", "jpeg", "png"])
+
+# Resmi işler ve tahmin yap
+if uploaded_file is not None:
+    # Resmi yükle
+    image = Image.open(uploaded_file)
+    
+    # Resmi 28x28 boyutuna getir ve gri tonlamaya çevir
+    image = image.resize((28, 28)).convert('L')
+    image = np.array(image)
+
+    # Resmi normalize et
+    image = image / 255.0
+
+    # Resmi uygun şekle getir
+    image = image.reshape(1, 28, 28, 1)
+
+    # Tahmin yap
+    if st.button("Tahmin Et"):
+        prediction = model.predict(image)
+        predicted_class = np.argmax(prediction)
+
+        # Tahmin sonucunu göster
+        st.subheader("Tahmin Edilen Etiket:")
+        st.write(class_names[predicted_class])
+
+        # Yüklenen resmi göster
+        st.image(image.reshape(28, 28), caption="Yüklenen Resim", use_column_width=True)

model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b05899fd35a1d6a4d0542086f75c3ce2863ba01a7403e52203094af617badfce
+size 3231416

model.keras

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:40ede8146fcdfe5e408b24bacf1c5925ca680720c0dc20565b790b5d0ebf75a5
+size 3222277

requirements.txt

@@ -0,0 +1,4 @@
+streamlit
+tensorflow
+opencv-python
+scikit-learn