Update app.py

app.py

@@ -4,7 +4,7 @@ from scipy import spatial
 import random
 import os
 
-# --- 1. MODELİ YÜKLE ---
+# 1. MODELİ YÜKLE
 @st.cache_resource
 def load_data():
     try:
@@ -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. TÜM OYUNCU DNA VERİTABANI
 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]},
@@ -57,90 +57,107 @@ tum_unlu_verileri = {
     "Cameron Diaz": {"c": "Female / Kadın", "v": [0.1, 0.2, 0.95, 0.7, 0.1, 0.1]}
 }
 
-# --- 3. SAYFA AYARLARI ---
+# --- RESİM KLASÖRÜ ---
+resim_klasoru = os.path.join(os.getcwd(), "40 resim")
+
+# --- ARAYÜZ AYARLARI ---
 st.set_page_config(page_title="CastMatch AI", layout="wide")
 
-# --- 4. SESSION STATE (SENKRONİZASYON) ---
-if "actor_key" not in st.session_state:
-    st.session_state.actor_key = "Sylvester Stallone"
+# SENKRONİZASYON İÇİN STATE
+if "secili_oyuncu" not in st.session_state:
+    st.session_state.secili_oyuncu = "Sylvester Stallone"
 
-# --- 5. SOL PANEL ---
-st.sidebar.title("🔍 Control Panel")
+# --- SOL PANEL (SIDEBAR) ---
+st.sidebar.title("🔍 Control Panel / Kontrol Paneli")
 st.sidebar.markdown("---")
 
-gender = st.sidebar.radio(
-    "1. Select Category:",
+gender_choice = st.sidebar.radio(
+    "1. Select Category / Kategori Seçin:",
     ["Male / Erkek", "Female / Kadın"],
-    key="gender_sel"
+    key="gender_radio"
 )
 
-# Kategoriye göre listeyi al
-available_names = [name for name, d in tum_unlu_verileri.items() if d['c'] == gender]
+# Kategoriye göre isimleri filtrele (Resim kontrolü yapmadan tüm listeyi getiriyoruz)
+filtered_names = [name for name, data in tum_unlu_verileri.items() if data['c'] == gender_choice]
+
+# Kategori değişirse listedeki ilk ismi seç
+if st.session_state.secili_oyuncu not in filtered_names:
+    st.session_state.secili_oyuncu = filtered_names[0]
 
-# Hafızadaki oyuncu listede yoksa ilkini seç
-if st.session_state.actor_key not in available_names:
-    st.session_state.actor_key = available_names[0]
+st.sidebar.markdown(f"### 📋 Available Cast / Mevcut Oyuncular")
 
-def on_sidebar_change():
-    st.session_state.actor_key = st.session_state.side_actor
+# Sidebar Callback
+def sidebar_degisti():
+    st.session_state.secili_oyuncu = st.session_state.sb_radio
 
+# Sol paneldeki tıklanabilir liste
 st.sidebar.radio(
-    "📋 Available Cast:",
-    available_names,
-    index=available_names.index(st.session_state.actor_key),
-    key="side_actor",
-    on_change=on_sidebar_change
+    "Quick Select / Hızlı Seçim:",
+    filtered_names,
+    index=filtered_names.index(st.session_state.secili_oyuncu),
+    key="sb_radio",
+    on_change=sidebar_degisti,
+    label_visibility="collapsed"
 )
 
-# --- 6. ANA EKRAN ---
-st.title("🎬 CastMatch AI: Talent Matching System")
+# --- ANA EKRAN ---
+st.title("🎬 CastMatch AI: Talent Matching System / Yetenek Eşleştirme Sistemi")
+st.markdown("#### Discover the perfect roles for global stars! / Dünya yıldızları için en ideal rolleri keşfedin!")
 st.markdown("---")
 
-col1, col2 = st.columns([1, 2])
+col_actor, col_match = st.columns([1, 2])
 
-with col1:
-    st.subheader("👤 Pick an Actor")
+with col_actor:
+    st.subheader("👤 Pick an Actor / Oyuncu Seç")
     
-    def on_main_change():
-        st.session_state.actor_key = st.session_state.main_actor
+    # Ana Selectbox Callback
+    def selectbox_degisti():
+        st.session_state.secili_oyuncu = st.session_state.main_sb
 
     selected_actor = st.selectbox(
-        "Select from list:",
-        available_names,
-        index=available_names.index(st.session_state.actor_key),
-        key="main_actor",
-        on_change=on_main_change
+        "Select from list / Listeden seçin:",
+        filtered_names,
+        index=filtered_names.index(st.session_state.secili_oyuncu),
+        key="main_sb",
+        on_change=selectbox_degisti
     )
-
-    # RESİM YÜKLEME
-    res_dir = os.path.join(os.getcwd(), "40 resim")
-    img_path = None
-    if os.path.exists(res_dir):
-        target = selected_actor.replace(" ", "_").lower()
-        for f in os.listdir(res_dir):
-            if target in f.lower() or selected_actor.lower() in f.lower():
-                img_path = os.path.join(res_dir, f)
+    
+    # Resim Bulma Mantığı (Daha esnek)
+    found_path = None
+    if os.path.exists(resim_klasoru):
+        search_target = selected_actor.replace(" ", "_").lower()
+        search_target_alt = selected_actor.lower()
+        for f in os.listdir(resim_klasoru):
+            if f.lower().startswith(search_target) or search_target_alt in f.lower():
+                found_path = os.path.join(resim_klasoru, f)
                 break
     
-    if img_path:
-        st.image(img_path, caption=selected_actor, use_container_width=True)
+    if found_path:
+        st.image(found_path, caption=f"Profile: {selected_actor}", use_container_width=True)
     else:
-        st.warning(f"Resim bulunamadı: {selected_actor}")
+        st.warning(f"Resim bulunamadı / Image not found: {selected_actor}")
 
-with col2:
-    st.subheader("🎯 Best Career Matches")
-    if st.button("🚀 Match and Recommend"):
+with col_match:
+    st.subheader("🎯 Best Career Matches / En İyi Kariyer Eşleşmeleri")
+    st.write("Comparing the star's DNA with movie roles... / Yıldızın DNA'sı film rolleriyle karşılaştırılıyor...")
+    
+    if st.button("🚀 Match and Recommend / Eşleştir ve Öner"):
         if movie_dict:
-            v = tum_unlu_verileri[selected_actor]['v']
-            res = []
+            actor_v = tum_unlu_verileri[selected_actor]['v']
+            results = []
             for i in movie_dict:
-                d = spatial.distance.cosine(v, movie_dict[i][1][:6]) + random.uniform(0, 0.0001)
-                res.append((movie_dict[i][0], d))
+                noise = random.uniform(0, 0.0001)
+                dist = spatial.distance.cosine(actor_v, movie_dict[i][1][:6]) + noise
+                results.append((movie_dict[i][0], dist))
             
-            for i, (film, sc) in enumerate(sorted(res, key=lambda x: x[1])[:5], 1):
-                pct = round((1 - sc) * 100, 1)
-                st.success(f"**{i}. {film}** (%{pct})")
+            top_matches = sorted(results, key=lambda x: x[1])[:5]
+            for i, (film, score) in enumerate(top_matches, 1):
+                pct = round((1 - score) * 100, 1)
+                st.success(f"**{i}. {film}**")
+                st.write(f"Match Score / Uyum Skoru: **%{pct}**")
                 st.progress(pct / 100)
+        else:
+            st.error("Model dosyası eksik! / Model file missing!")
 
 st.markdown("---")
-st.info("💡 **How it works?**: This AI analyzes career vectors based on available local assets.")
+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.")