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. TÜM 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]},
@@ -57,126 +57,34 @@ tum_unlu_verileri = {
     "Cameron Diaz": {"c": "Female / Kadın", "v": [0.1, 0.2, 0.95, 0.7, 0.1, 0.1]}
 }
 
-# --- RESİM KLASÖRÜ AYARI ---
+# --- 3. RESİM AYARLARI ---
 resim_klasoru = os.path.join(os.getcwd(), "40 resim")
 
-# --- ARAYÜZ AYARLARI ---
+# --- 4. ARAYÜZ AYARLARI ---
 st.set_page_config(page_title="CastMatch AI", layout="wide")
 
-# --- SOL PANEL (SIDEBAR) ---
+# --- 5. SOL PANEL (SIDEBAR) ---
 st.sidebar.title("🔍 Control Panel / Kontrol Paneli")
 st.sidebar.markdown("---")
 
 gender_choice = st.sidebar.radio(
     "1. Select Category / Kategori Seçin:",
-    ["Male / Erkek", "Female / Kadın"]
+    ["Male / Erkek", "Female / Kadın"],
+    key="unique_gender_radio" # Hata veren ID burasıydı, eşsiz yaptık
 )
 
-# Klasörde resim olsa da olmasa da isimleri listele ki "Yok" çıkmasın
 filtered_names = [name for name, data in tum_unlu_verileri.items() if data['c'] == gender_choice]
 
 st.sidebar.markdown(f"### 📋 Available Cast / Mevcut Oyuncular")
 
-# SENKRONİZASYON: Sidebar seçimini ana state'e bağlıyoruz
+# Sol taraftaki tıklanabilir liste
 selected_actor_sidebar = st.sidebar.radio(
-    "Quick Select:",
+    "Quick Selection:",
     filtered_names,
-    label_visibility="collapsed"
+    key="unique_actor_list_radio" # Sol paneldeki isim listesi
 )
 
-# --- 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("---")
-
-col_actor, col_match = st.columns([1, 2])
-import streamlit as st
-import pickle
-from scipy import spatial
-import random
-import os
-
-# 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
-
-model_data = load_data()
-movie_dict = model_data['movie_dict'] if model_data else {}
-
-# 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]},
-    "Johnny Depp": {"c": "Male / Erkek", "v": [0.1, 0.9, 0.8, 0.4, 0.1, 0.1]},
-    "Jason Statham": {"c": "Male / Erkek", "v": [0.95, 0.3, 0.1, 0.1, 0.1, 0.7]},
-    "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]},
-    "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 KLASÖRÜ AYARI ---
-resim_klasoru = os.path.join(os.getcwd(), "40 resim")
-
-# --- ARAYÜZ AYARLARI ---
-st.set_page_config(page_title="CastMatch AI", layout="wide")
-
-# --- SOL PANEL (SIDEBAR) ---
-st.sidebar.title("🔍 Control Panel / Kontrol Paneli")
-st.sidebar.markdown("---")
-
-gender_choice = st.sidebar.radio(
-    "1. Select Category / Kategori Seçin:",
-    ["Male / Erkek", "Female / Kadın"]
-)
-
-# Klasörde resim olsa da olmasa da isimleri listele ki "Yok" çıkmasın
-filtered_names = [name for name, data in tum_unlu_verileri.items() if data['c'] == gender_choice]
-
-st.sidebar.markdown(f"### 📋 Available Cast / Mevcut Oyuncular")
-
-# SENKRONİZASYON: Sidebar seçimini ana state'e bağlıyoruz
-selected_actor_sidebar = st.sidebar.radio(
-    "Quick Select:",
-    filtered_names,
-    label_visibility="collapsed"
-)
-
-# --- ANA EKRAN ---
+# --- 6. 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("---")
@@ -186,21 +94,21 @@ col_actor, col_match = st.columns([1, 2])
 with col_actor:
     st.subheader("👤 Pick an Actor / Oyuncu Seç")
     
-    # Sidebar'daki seçimi buradaki selectbox'a zorla eşle
+    # Sol taraftan gelen seçimi buradaki kutunun varsayılanı yapıyoruz
     current_idx = filtered_names.index(selected_actor_sidebar)
     
     selected_actor = st.selectbox(
         "Select from list / Listeden seçin:", 
         filtered_names,
-        index=current_idx
+        index=current_idx,
+        key="main_screen_selectbox"
     )
     
-    # RESİM BULMA MANTIĞI
+    # Resim gösterme mantığı
     found_path = None
     if os.path.exists(resim_klasoru):
         search_target = selected_actor.replace(" ", "_").lower()
-        dosyalar = os.listdir(resim_klasoru)
-        for f in dosyalar:
+        for f in os.listdir(resim_klasoru):
             if f.lower().startswith(search_target) or selected_actor.lower() in f.lower():
                 found_path = os.path.join(resim_klasoru, f)
                 break
@@ -208,30 +116,27 @@ with col_actor:
     if found_path:
         st.image(found_path, caption=f"Profile: {selected_actor}", use_container_width=True)
     else:
-        # Resim yoksa bir placeholder veya uyarı göster ama isimler kaybolmasın
-        st.warning(f"Resim dosyası '40 resim' klasöründe bulunamadı: {selected_actor}")
+        st.warning(f"Image not found for: {selected_actor}")
 
 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...")
+    st.write("Comparing the star's DNA with movie roles...")
     
     if st.button("🚀 Match and Recommend / Eşleştir ve Öner"):
         if movie_dict:
             actor_v = tum_unlu_verileri[selected_actor]['v']
             results = []
             for i in movie_dict:
-                noise = random.uniform(0, 0.0001)
-                dist = spatial.distance.cosine(actor_v, movie_dict[i][1][:6]) + noise
+                dist = spatial.distance.cosine(actor_v, movie_dict[i][1][:6]) + random.uniform(0, 0.0001)
                 results.append((movie_dict[i][0], dist))
             
             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.success(f"**{i}. {film}** (%{pct})")
                 st.progress(pct / 100)
         else:
-            st.error("Model dosyası eksik! / Model file missing!")
+            st.error("Model dosyası bulunamadı!")
 
 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.")