Update app.py

app.py

@@ -4,7 +4,7 @@ from scipy import spatial
 import random
 import os
 
-# --- TASARIM ---
+# --- SAYFA AYARLARI ---
 st.set_page_config(page_title="CastMatch AI", layout="wide")
 st.markdown("""
     <style>
@@ -12,17 +12,19 @@ st.markdown("""
     </style>
     """, unsafe_allow_html=True)
 
-# 1. MODEL VE VERİ
+# 1. MODELİ YÜKLE
 @st.cache_resource
 def load_data():
     try:
         with open('movie_model.pkl', 'rb') as f:
             return pickle.load(f)
-    except: return None
+    except:
+        return None
 
 model_data = load_data()
 movie_dict = model_data['movie_dict'] if model_data else {}
 
+# 2. TÜM OYUNCU VERİTABANI (Eksiksiz Liste)
 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]},
@@ -31,44 +33,65 @@ tum_unlu_verileri = {
     "Keanu Reeves": {"c": "Male / Erkek", "v": [0.9, 0.4, 0.1, 0.2, 0.9, 0.6]},
     "Brad Pitt": {"c": "Male / Erkek", "v": [0.7, 0.5, 0.3, 0.8, 0.2, 0.4]},
     "Tom Cruise": {"c": "Male / Erkek", "v": [0.9, 0.8, 0.2, 0.1, 0.4, 0.5]},
+    "Anthony Hopkins": {"c": "Male / Erkek", "v": [0.1, 0.1, 0.1, 0.95, 0.1, 0.9]},
+    "Arnold Schwarzenegger": {"c": "Male / Erkek", "v": [0.95, 0.6, 0.2, 0.1, 0.8, 0.1]},
+    "Bruce Willis": {"c": "Male / Erkek", "v": [0.9, 0.2, 0.1, 0.3, 0.4, 0.7]},
+    "Christian Bale": {"c": "Male / Erkek", "v": [0.8, 0.2, 0.1, 0.9, 0.1, 0.7]},
+    "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]},
     "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]}
+    "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]}
 }
 
+# --- RESİM KONTROLÜ ---
 resim_klasoru = os.getcwd()
 mevcut_isimler = [isim for isim in tum_unlu_verileri.keys() 
                   if any(isim.lower().replace(" ", "_") in f.lower() or isim.lower() in f.lower() 
                   for f in os.listdir(resim_klasoru))]
 
-# --- HAFIZA SİSTEMİ (KRİTİK NOKTA) ---
-if 'active_actor' not in st.session_state:
-    st.session_state.active_actor = None
+# --- SESSION STATE ---
+if 'selected_actor' not in st.session_state:
+    st.session_state.selected_actor = mevcut_isimler[0] if mevcut_isimler else None
 
-# --- YARDIMCI FONKSİYONLAR ---
-def sync_from_sidebar():
-    st.session_state.active_actor = st.session_state.sidebar_choice
-
-def sync_from_main():
-    st.session_state.active_actor = st.session_state.main_choice
-
-# --- SIDEBAR ---
+# --- SIDEBAR (SOL PANEL) ---
 st.sidebar.title("🔍 Control Panel")
 gender_choice = st.sidebar.radio("Category / Kategori:", ["Male / Erkek", "Female / Kadın"])
 filtered_names = [n for n in mevcut_isimler if tum_unlu_verileri[n]['c'] == gender_choice]
 
-# Kategori değişirse ilk ismi seç
-if st.session_state.active_actor not in filtered_names and filtered_names:
-    st.session_state.active_actor = filtered_names[0]
-
 st.sidebar.markdown("---")
-# SOL PANEL RADIO
+# Sol tarafta bir isme basıldığında çalışacak fonksiyon
+def on_sidebar_click():
+    st.session_state.selected_actor = st.session_state.sidebar_sync
+
+# Sol taraftaki tıklanabilir liste
 st.sidebar.radio(
-    "📋 Available Cast:",
+    "📋 Available Cast / Mevcut Oyuncular:",
     filtered_names,
-    index=filtered_names.index(st.session_state.active_actor) if st.session_state.active_actor in filtered_names else 0,
-    key="sidebar_choice",
-    on_change=sync_from_sidebar # Buraya basınca orta kutuyu tetikler
+    index=filtered_names.index(st.session_state.selected_actor) if st.session_state.selected_actor in filtered_names else 0,
+    key="sidebar_sync",
+    on_change=on_sidebar_click
 )
 
 # --- ANA EKRAN ---
@@ -77,36 +100,47 @@ st.title("🎬 CastMatch AI")
 col_actor, col_match = st.columns([1, 2])
 
 with col_actor:
-    st.subheader("👤 Selected Actor")
+    st.subheader("👤 Pick an Actor")
     
-    # ORTA SEÇİM KUTUSU
-    # Bu kutu st.session_state.active_actor'u dinler
-    selected_actor = st.selectbox(
+    # Orta kısımdaki seçim kutusu fonksiyonu
+    def on_main_click():
+        st.session_state.selected_actor = st.session_state.main_sync
+
+    # SELECTBOX: Sol panel ile tamamen aynı session_state'e bağlı
+    final_actor = st.selectbox(
         "Select from list / Listeden seçin:",
         filtered_names,
-        index=filtered_names.index(st.session_state.active_actor) if st.session_state.active_actor in filtered_names else 0,
-        key="main_choice",
-        on_change=sync_from_main # Buradan seçince solu tetikler
+        index=filtered_names.index(st.session_state.selected_actor) if st.session_state.selected_actor in filtered_names else 0,
+        key="main_sync",
+        on_change=on_main_click
     )
 
-    # RESİM GÖSTERİMİ
-    if selected_actor:
+    # RESİM GÖSTERME
+    if final_actor:
         found_path = None
-        target = selected_actor.replace(" ", "_").lower()
+        target = final_actor.replace(" ", "_").lower()
         for f in os.listdir(resim_klasoru):
-            if target in f.lower() or selected_actor.lower() in f.lower():
+            if target in f.lower() or final_actor.lower() in f.lower():
                 found_path = os.path.join(resim_klasoru, f)
                 break
         
         if found_path:
-            st.image(found_path, caption=selected_actor, use_container_width=True)
+            st.image(found_path, caption=final_actor, use_container_width=True)
 
 with col_match:
-    st.subheader("🎯 Matches")
-    if selected_actor:
+    st.subheader("🎯 Career Matches")
+    if final_actor:
         if st.button("🚀 Match and Recommend"):
-            v = tum_unlu_verileri[selected_actor]['v']
-            # ... Analiz kodları ...
-            st.success(f"Best matches for {selected_actor} analyzed!")
-
-st.info("💡 Sol tarafa tıkladığınızda orta kutu otomatik güncellenir.")
+            if movie_dict:
+                v = tum_unlu_verileri[final_actor]['v']
+                results = []
+                for i in movie_dict:
+                    dist = spatial.distance.cosine(v, movie_dict[i][1][:6]) + random.uniform(0, 0.0001)
+                    results.append((movie_dict[i][0], dist))
+                
+                for i, (film, score) in enumerate(sorted(results, key=lambda x: x[1])[:5], 1):
+                    pct = round((1 - score) * 100, 1)
+                    st.success(f"**{i}. {film}**")
+                    st.progress(pct / 100)
+
+st.info("💡 Sol panel veya orta liste senkronize çalışır.")