Update app.py

app.py

@@ -16,7 +16,7 @@ def load_data():
 model_data = load_data()
 movie_dict = model_data['movie_dict'] if model_data else {}
 
-# --- 2. OYUNCU DNA VERİTABANI ---
+# --- 2. OYUNCU DNA VERİTABANI (Hugging Face Listenle Tam Uyumlu) ---
 tum_unlu_verileri = {
     "Sylvester Stallone": {"c": "Male / Erkek", "v": [0.9, 0.2, 0.1, 0.1, 0.1, 0.8]},
     "Robert De Niro": {"c": "Male / Erkek", "v": [0.2, 0.1, 0.1, 0.9, 0.1, 0.8]},
@@ -32,35 +32,29 @@ tum_unlu_verileri = {
     "Tom Hanks": {"c": "Male / Erkek", "v": [0.2, 0.6, 0.5, 0.9, 0.1, 0.1]},
     "Morgan Freeman": {"c": "Male / Erkek", "v": [0.1, 0.3, 0.1, 0.9, 0.1, 0.6]},
     "Al Pacino": {"c": "Male / Erkek", "v": [0.2, 0.1, 0.1, 0.95, 0.1, 0.8]},
-    "Cillian Murphy": {"c": "Male / Erkek", "v": [0.4, 0.1, 0.1, 0.9, 0.4, 0.8]},
     "Jackie Chan": {"c": "Male / Erkek", "v": [0.9, 0.7, 0.9, 0.1, 0.1, 0.1]},
     "Denzel Washington": {"c": "Male / Erkek", "v": [0.8, 0.2, 0.1, 0.9, 0.1, 0.7]},
-    "George Clooney": {"c": "Male / Erkek", "v": [0.3, 0.4, 0.5, 0.8, 0.1, 0.6]},
-    "Jake Gyllenhaal": {"c": "Male / Erkek", "v": [0.6, 0.1, 0.1, 0.9, 0.2, 0.8]},
     "Pierce Brosnan": {"c": "Male / Erkek", "v": [0.8, 0.7, 0.3, 0.4, 0.1, 0.6]},
+    "Leonardo DiCaprio": {"c": "Male / Erkek", "v": [0.3, 0.1, 0.1, 0.95, 0.1, 0.8]},
+    "Matt Damon": {"c": "Male / Erkek", "v": [0.8, 0.3, 0.2, 0.9, 0.2, 0.6]},
+    "Will Smith": {"c": "Male / Erkek", "v": [0.9, 0.6, 0.8, 0.5, 0.1, 0.2]},
     "Angelina Jolie": {"c": "Female / Kadın", "v": [0.9, 0.7, 0.1, 0.8, 0.1, 0.6]},
     "Natalie Portman": {"c": "Female / Kadın", "v": [0.3, 0.2, 0.1, 0.9, 0.6, 0.7]},
     "Scarlett Johansson": {"c": "Female / Kadın", "v": [0.9, 0.6, 0.2, 0.7, 0.8, 0.5]},
     "Charlize Theron": {"c": "Female / Kadın", "v": [0.8, 0.3, 0.1, 0.9, 0.2, 0.7]},
-    "Milla Jovovich": {"c": "Female / Kadın", "v": [0.9, 0.4, 0.1, 0.1, 0.9, 0.3]},
     "Sandra Bullock": {"c": "Female / Kadın", "v": [0.2, 0.1, 0.9, 0.8, 0.1, 0.6]},
     "Nicole Kidman": {"c": "Female / Kadın", "v": [0.1, 0.2, 0.1, 0.95, 0.1, 0.7]},
-    "Jennifer Lawrence": {"c": "Female / Kadın", "v": [0.7, 0.8, 0.3, 0.9, 0.4, 0.2]},
     "Meryl Streep": {"c": "Female / Kadın", "v": [0.1, 0.1, 0.4, 0.95, 0.1, 0.1]},
-    "Salma Hayek": {"c": "Female / Kadın", "v": [0.6, 0.3, 0.5, 0.8, 0.1, 0.1]},
     "Anne Hathaway": {"c": "Female / Kadın", "v": [0.2, 0.7, 0.8, 0.8, 0.1, 0.1]},
-    "Keira Knightley": {"c": "Female / Kadın", "v": [0.1, 0.8, 0.1, 0.95, 0.1, 0.1]},
     "Julia Roberts": {"c": "Female / Kadın", "v": [0.1, 0.2, 0.9, 0.9, 0.1, 0.1]},
     "Penelope Cruz": {"c": "Female / Kadın", "v": [0.2, 0.3, 0.6, 0.9, 0.1, 0.6]},
-    "Monica Bellucci": {"c": "Female / Kadın", "v": [0.6, 0.1, 0.1, 0.8, 0.5, 0.3]},
-    "Emily Blunt": {"c": "Female / Kadın", "v": [0.7, 0.6, 0.1, 0.8, 0.5, 0.6]},
-    "Cameron Diaz": {"c": "Female / Kadın", "v": [0.1, 0.2, 0.95, 0.7, 0.1, 0.1]}
+    "Emma Watson": {"c": "Female / Kadın", "v": [0.1, 0.8, 0.2, 0.9, 0.6, 0.1]}
 }
 
 # --- ARAYÜZ AYARLARI ---
 st.set_page_config(page_title="CastMatch AI", layout="wide")
 
-# CSS: Resim alanını sabitle ve tasarımı temizle
+# CSS: Resim alanını sabitleyip titremeyi kesen stil
 st.markdown("""
     <style>
     [data-testid="stImage"] {
@@ -69,7 +63,6 @@ st.markdown("""
         display: flex;
         align-items: center;
         justify-content: center;
-        background-color: transparent;
     }
     .stImage img {
         max-height: 400px !important;
@@ -84,8 +77,8 @@ st.sidebar.title("🔍 Control Panel / Kontrol Paneli")
 st.sidebar.markdown("---")
 gender_choice = st.sidebar.radio("1. Select Category / Kategori Seçin:", ["Male / Erkek", "Female / Kadın"])
 
-# Hugging Face ana dizinindeki dosyaları listele
-ana_dizin_dosyalari = os.listdir(".")
+# Hugging Face ana dizindeki gerçek dosyaları çek
+hf_files = os.listdir(".")
 filtered_names = [name for name in tum_unlu_verileri.keys() if tum_unlu_verileri[name]['c'] == gender_choice]
 
 st.sidebar.markdown(f"### 📋 Available Cast / Mevcut Oyuncular")
@@ -93,39 +86,41 @@ for n in filtered_names:
     st.sidebar.write(f"• {n}")
 
 # --- ANA EKRAN ---
-st.title("🎬 CastMatch AI: Talent Matching System / Yetenek Eşleştirme Sistemi")
+st.title("🎬 CastMatch AI: Talent Matching System")
 st.markdown("---")
 
 col_actor, col_match = st.columns([1, 2])
 
 with col_actor:
     st.subheader("👤 Pick an Actor / Oyuncu Seç")
-    selected_actor = st.selectbox("Select from list / Seçiniz:", ["Choose..."] + filtered_names)
+    selected_actor = st.selectbox("Select from list:", ["Choose..."] + filtered_names)
     
     if selected_actor != "Choose...":
         found_path = None
-        target_underscore = selected_actor.replace(" ", "_").lower()
-        target_plain = selected_actor.lower()
+        # Hugging Face'deki isimlendirme varyasyonlarını kontrol et
+        search_underscore = selected_actor.replace(" ", "_").lower()
+        search_plain = selected_actor.lower()
         
-        for f in ana_dizin_dosyalari:
+        for f in hf_files:
             f_lower = f.lower()
             if f_lower.endswith(('.jpg', '.png', '.jpeg')):
-                if target_underscore in f_lower or target_plain in f_lower:
+                # Sylvester Stallone.png veya Brad_Pitt.png gibi her durumu yakala
+                if search_underscore in f_lower or search_plain in f_lower:
                     found_path = f
                     break
         
         if found_path:
             st.image(found_path, use_container_width=False)
         else:
-            st.error(f"Image not found! / Resim bulunamadı: {selected_actor}")
+            st.warning(f"Resim dosyası eşleşmedi: {selected_actor}")
+            st.markdown('<div style="height: 300px;"></div>', unsafe_allow_html=True)
     else:
-        # Çizgisiz temiz boşluk alanı
         st.markdown('<div style="height: 400px; display: flex; align-items: center; justify-content: center; color: #999; font-style: italic;">Select an actor to view profile</div>', unsafe_allow_html=True)
 
 with col_match:
-    st.subheader("🎯 Best Career Matches / En İyi Kariyer Eşleşmeleri")
+    st.subheader("🎯 Best Career Matches")
     
-    if st.button("🚀 Match and Recommend / Eşleştir ve Öner") and selected_actor != "Choose...":
+    if st.button("🚀 Match and Recommend") and selected_actor != "Choose...":
         if movie_dict:
             actor_v = tum_unlu_verileri[selected_actor]['v']
             results = []
@@ -142,6 +137,5 @@ with col_match:
         else:
             st.error("Model file missing!")
 
-# --- ALT BİLGİ ---
 st.markdown("---")
 st.info("**How it works? / Nasıl çalışır?**: This AI analyzes career vectors based on available local assets. / Bu yapay zeka, mevcut yerel varlıklara (resimlere) dayanarak kariyer vektörlerini analiz eder.")