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@@ -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
+bird_weights.weights.keras filter=lfs diff=lfs merge=lfs -text

app.py

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+import streamlit as st
+import tensorflow as tf
+from tensorflow.keras.applications import VGG16
+from tensorflow.keras.models import Sequential
+from tensorflow.keras.layers import Dense, GlobalAveragePooling2D, Dropout
+from PIL import Image
+import numpy as np
+
+# --- SAYFA AYARLARI ---
+st.set_page_config(page_title="Bird Identifier / Kuş Tanımlayıcı", layout="wide", page_icon="🐦")
+
+# --- MODEL YÜKLEME (TİTREMEYİ ÖNLEYEN ÖNBELLEK) ---
+@st.cache_resource
+def load_bird_model():
+    # Model mimarisini kur
+    base_model = VGG16(weights=None, include_top=False, input_shape=(128, 128, 3))
+    model = Sequential([
+        base_model,
+        GlobalAveragePooling2D(),
+        Dense(256, activation='relu'),
+        Dropout(0.6),
+        Dense(25, activation='softmax')
+    ])
+    # Ağırlıkları yükle (Dosya adının aynı olduğundan emin ol)
+    model.load_weights("bird_weights.weights.h5")
+    return model
+
+# Uygulama başladığında modeli bir kez yükle ve hafızada tut
+model = load_bird_model()
+
+# --- KUŞ TÜRLERİ LİSTESİ ---
+class_names = [
+    'Alexandrine Parakeet', 'Asian Green Bee-Eater', 'Baya Weaver', 'Black Drongo', 
+    'Black-Crowned Night Heron', 'Blue-Throated Barbet', 'Brown-Headed Barbet', 
+    'Cattle Egret', 'Common Kingfisher', 'Common Myna', 'Common Rosefinch', 
+    'Common Tailorbird', 'Coppersmith Barbet', 'Grey Heron', 'Hoopoe', 
+    'Indian Peafowl', 'Indian Roller', 'Indian Silverbill', 'Jungle Babbler', 
+    'Little Egret', 'Pied Kingfisher', 'Purple Sunbird', 'Red-Wattled Lapwing', 
+    'Slaty-Headed Parakeet', 'White-Throated Kingfisher'
+]
+
+# --- YAN PANEL (SIDEBAR) ---
+with st.sidebar:
+    st.title("Settings / Ayarlar ⚙️")
+    st.divider()
+    st.subheader("Recognized Species / Tanınan Türler 🐦")
+    # Türleri alfabetik listele
+    for name in sorted(class_names):
+        st.write(f"• {name}")
+
+# --- ANA EKRAN ---
+st.title("Bird Species Classifier / Kuş Türü Sınıflandırıcı 🐦")
+st.write("Identify 25 types of Indian birds / 25 farklı Hint kuş türünü tanımlayın.")
+st.divider()
+
+# Ekranı ikiye böl
+col1, col2 = st.columns([1, 1])
+
+with col1:
+    st.subheader("Upload Image / Resim Yükle 📤")
+    uploaded_file = st.file_uploader("Choose a file / Dosya seçin...", type=["jpg", "jpeg", "png"])
+    
+    if uploaded_file is not None:
+        image = Image.open(uploaded_file)
+        st.image(image, caption="Uploaded Image / Yüklenen Resim", use_container_width=True)
+
+with col2:
+    st.subheader("Analysis Results / Analiz Sonuçları 🔍")
+    
+    if uploaded_file is not None:
+        if st.button("Predict / Tahmin Et"):
+            with st.spinner("Analyzing... / Analiz ediliyor..."):
+                # Görüntü hazırlama
+                img = image.resize((128, 128))
+                img_array = np.array(img).astype('float32') / 255.0
+                img_array = np.expand_dims(img_array, axis=0)
+                
+                # Tahmin yap
+                preds = model.predict(img_array)
+                class_idx = np.argmax(preds[0])
+                confidence = np.max(preds[0]) * 100
+                
+                # Sonuç gösterimi
+                st.success(f"**Result / Sonuç:** {class_names[class_idx]}")
+                st.write(f"**Confidence / Güven:** %{confidence:.2f}")
+                st.progress(int(confidence))
+                
+                # Başarı kutlaması
+                st.balloons()
+    else:
+        st.info("Please upload a bird photo to start. / Başlamak için lütfen bir kuş fotoğrafı yükleyin.")
+
+st.divider()
+st.caption("Deep Learning Project / Derin Öğrenme Projesi - 2024")

bird_weights.weights.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7fb5754c8ac97a406149c50d06ce031aa9aebac0212d0030fb3e1ad543bdc151
+size 117223360

bird_weights.weights.keras

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:29392f0e270d399ee5a753485038f819cdac618666f6dc8e198a075ece780428
+size 117244901