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.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
+gender_model.yml filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,27 @@
+import streamlit as st
+import cv2
+import numpy as np
+from PIL import Image
+
+# Modeli yükle (gender_model.yml dosyan var mı kontrol et)
+model = cv2.face.LBPHFaceRecognizer_create()
+model.read('gender_model.yml')
+
+st.title('Gender Prediction / Cinsiyet Tahmini')
+
+uploaded_file = st.file_uploader("Upload a face image / Yüz resmi yükleyin", type=["jpg", "jpeg", "png"])
+
+if uploaded_file is not None:
+    image = Image.open(uploaded_file).convert('RGB')
+    st.image(image, caption='Uploaded Image / Yüklenen Resim', width=400)
+
+    # Görüntüyü OpenCV formatına çevir
+    img_np = np.array(image)
+    img_gray = cv2.cvtColor(img_np, cv2.COLOR_RGB2GRAY)
+    img_resized = cv2.resize(img_gray, (200, 200))
+
+    label, confidence = model.predict(img_resized)
+    gender = "Male / Erkek" if label == 0 else "Female / Kadın"
+
+    st.write(f"Prediction / Tahmin: **{gender}**")
+    st.write(f"Confidence / Güven: %{round(100 - confidence, 2)}")

gender_model.yml

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:09d18fa27f6979e028afdabfededaf5736b5813e6b4a089cbb73123691dff050
+size 109841465