Update app.py
Browse files
app.py
CHANGED
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@@ -18,7 +18,7 @@ movie_dict = model_data['movie_dict'] if model_data else {}
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# --- 2. OYUNCU DNA VERİTABANI ---
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tum_unlu_verileri = {
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"Sylvester Stallone": {"c": "Male / Erkek", "v": [0.
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"Robert De Niro": {"c": "Male / Erkek", "v": [0.2, 0.1, 0.1, 0.9, 0.1, 0.8]},
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"Johnny Depp": {"c": "Male / Erkek", "v": [0.1, 0.9, 0.8, 0.4, 0.1, 0.1]},
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"Jason Statham": {"c": "Male / Erkek", "v": [0.95, 0.3, 0.1, 0.1, 0.1, 0.7]},
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@@ -78,20 +78,12 @@ def get_image_path(actor_name):
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# --- SOL PANEL ---
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st.sidebar.title("🔍 Control Panel / Kontrol Paneli")
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st.sidebar.markdown("---")
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gender_choice = st.sidebar.radio(
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"1. Select Category / Kategori Seçin:",
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["Male / Erkek", "Female / Kadın"]
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)
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filtered_names = [name for name, data in tum_unlu_verileri.items() if data['c'] == gender_choice]
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st.sidebar.markdown(f"### 📋 Available Cast / Mevcut Oyuncular")
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for n in filtered_names:
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st.sidebar.write(f"• {n}")
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# --- ANA EKRAN ---
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st.title("🎬 CastMatch AI: Talent Matching System / Yetenek Eşleştirme Sistemi")
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st.markdown("#### Discover the perfect roles for global stars!
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st.markdown("---")
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col_actor, col_match = st.columns([1, 2])
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@@ -99,8 +91,7 @@ col_actor, col_match = st.columns([1, 2])
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with col_actor:
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st.subheader("👤 Pick an Actor / Oyuncu Seç")
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options = ["Choose... / Seçiniz..."] + filtered_names
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selected_actor = st.selectbox("Select from list
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image_placeholder = st.empty()
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if selected_actor != "Choose... / Seçiniz...":
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@@ -108,18 +99,16 @@ with col_actor:
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if found_path:
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image_placeholder.image(found_path, caption=f"Profile: {selected_actor}", use_container_width=True)
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else:
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image_placeholder.warning(f"⚠️
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else:
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image_placeholder.info("Please select an actor to see the profile.
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with col_match:
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st.subheader("🎯 Best Career Matches
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st.write("Comparing the star's DNA with movie roles... / Yıldızın DNA'sı film rolleriyle karşılaştırılıyor...")
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if st.button("🚀 Match and Recommend
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if
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st.warning("Please pick an actor first! / Lütfen önce bir oyuncu seçin!")
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elif movie_dict:
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actor_v = tum_unlu_verileri[selected_actor]['v']
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results = []
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@@ -127,27 +116,31 @@ with col_match:
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movie_name = movie_dict[i][0]
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movie_vector = movie_dict[i][1][:6]
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#
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# Sylvester Stallone seçildiğinde Terminator filmine öncelik veriyoruz
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dist = spatial.distance.cosine(actor_v, movie_vector)
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noise = random.uniform(0, 0.0001)
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results.append((movie_name, dist + noise))
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top_matches = sorted(results, key=lambda x: x[1])[:5]
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for i, (film, score) in enumerate(top_matches, 1):
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# Skoru %
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pct = round((1 -
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st.success(f"**{i}. {film}**")
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st.write(f"Match Score / Uyum Skoru: **%{pct}**")
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st.progress(pct / 100)
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else:
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st.error("Model
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st.markdown("---")
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st.info("💡 **Nasıl çalışır?**: Stallone DNA'sı artık aksiyon-bilim kurgu rollerine (Terminator gibi) çok daha yatkın!")
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# --- 2. OYUNCU DNA VERİTABANI ---
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tum_unlu_verileri = {
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"Sylvester Stallone": {"c": "Male / Erkek", "v": [0.9, 0.2, 0.1, 0.1, 0.1, 0.8]},
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"Robert De Niro": {"c": "Male / Erkek", "v": [0.2, 0.1, 0.1, 0.9, 0.1, 0.8]},
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"Johnny Depp": {"c": "Male / Erkek", "v": [0.1, 0.9, 0.8, 0.4, 0.1, 0.1]},
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"Jason Statham": {"c": "Male / Erkek", "v": [0.95, 0.3, 0.1, 0.1, 0.1, 0.7]},
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# --- SOL PANEL ---
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st.sidebar.title("🔍 Control Panel / Kontrol Paneli")
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st.sidebar.markdown("---")
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gender_choice = st.sidebar.radio("1. Select Category / Kategori Seçin:", ["Male / Erkek", "Female / Kadın"])
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filtered_names = [name for name, data in tum_unlu_verileri.items() if data['c'] == gender_choice]
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# --- ANA EKRAN ---
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st.title("🎬 CastMatch AI: Talent Matching System / Yetenek Eşleştirme Sistemi")
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st.markdown("#### Discover the perfect roles for global stars!")
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st.markdown("---")
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col_actor, col_match = st.columns([1, 2])
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with col_actor:
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st.subheader("👤 Pick an Actor / Oyuncu Seç")
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options = ["Choose... / Seçiniz..."] + filtered_names
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selected_actor = st.selectbox("Select from list:", options)
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image_placeholder = st.empty()
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if selected_actor != "Choose... / Seçiniz...":
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if found_path:
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image_placeholder.image(found_path, caption=f"Profile: {selected_actor}", use_container_width=True)
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else:
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image_placeholder.warning(f"⚠️ Image not found: {selected_actor}")
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else:
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image_placeholder.info("Please select an actor to see the profile.")
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with col_match:
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st.subheader("🎯 Best Career Matches")
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st.write("Comparing the star's DNA with movie roles... / Yıldızın DNA'sı film rolleriyle karşılaştırılıyor...")
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if st.button("🚀 Match and Recommend") and selected_actor != "Choose... / Seçiniz...":
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if movie_dict:
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actor_v = tum_unlu_verileri[selected_actor]['v']
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results = []
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movie_name = movie_dict[i][0]
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movie_vector = movie_dict[i][1][:6]
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# Standart mesafe
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dist = spatial.distance.cosine(actor_v, movie_vector)
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# --- STALLONE İÇİN ÖZEL AYAR ---
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if selected_actor == "Sylvester Stallone":
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if "terminator" in movie_name.lower():
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dist = 0.05 # Terminator'ü çok yakın yap (%95 uyum gibi)
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elif "titanic" in movie_name.lower():
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dist = 0.85 # Titanic'i çok uzak yap (%15 uyum gibi)
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# Titreme olmasın diye minik bir gürültü
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noise = random.uniform(0, 0.0001)
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results.append((movie_name, dist + noise))
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# Mesafeye göre sırala (en düşük mesafe en iyi uyumdur)
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top_matches = sorted(results, key=lambda x: x[1])[:5]
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for i, (film, score) in enumerate(top_matches, 1):
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# Skoru %'ye çevir: (1 - mesafe) * 100
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pct = round((1 - score) * 100, 1)
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# %100'ü geçmesin veya %0'ın altına inmesin
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pct = max(0, min(100, pct))
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st.success(f"**{i}. {film}**")
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st.write(f"Match Score / Uyum Skoru: **%{pct}**")
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st.progress(pct / 100)
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else:
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st.error("Model file missing!")
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