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abb80b9 cb8b117 abb80b9 cb8b117 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 | import streamlit as st
import pandas as pd
import joblib
# Sayfa ayarları / Page Settings
st.set_page_config(page_title="Fraud Guard Pro", page_icon="🛡️", layout="wide")
# Modelleri yükle / Load Assets
@st.cache_resource
def load_assets():
model = joblib.load("fraud_model.pkl")
cols = joblib.load("columns.pkl")
return model, cols
model, cols = load_assets()
# --- BAŞLIK KISMI / HEADER SECTION ---
st.markdown("<h1 style='text-align: center;'>🛡️ Fraud Guard Pro</h1>", unsafe_allow_html=True)
st.markdown("<h3 style='text-align: center;'>Finansal Dolandırıcılık Analiz Sistemi | Financial Fraud Analysis System</h3>", unsafe_allow_html=True)
st.markdown("---")
# --- ÖRNEK SENARYOLAR / QUICK SCENARIOS ---
st.subheader("🚀 Hızlı Test Senaryoları / Quick Test Scenarios")
col_s1, col_s2 = st.columns(2)
with col_s1:
if st.button("🚨 Şüpheli İşlem Örneği / Load Fraud Example"):
st.session_state.step = 1
st.session_state.type = "TRANSFER"
st.session_state.amount = 50000.0
st.session_state.oldorg = 50000.0
st.session_state.neworg = 0.0
st.warning("Şüpheli senaryo yüklendi! / Fraud scenario loaded!")
with col_s2:
if st.button("✅ Güvenli İşlem Örneği / Load Safe Example"):
st.session_state.step = 1
st.session_state.type = "PAYMENT"
st.session_state.amount = 150.0
st.session_state.oldorg = 2500.0
st.session_state.neworg = 2350.0
st.success("Güvenli senaryo yüklendi! / Safe scenario loaded!")
# --- SOL MENÜ: VERİ GİRİŞİ / SIDEBAR: DATA INPUT ---
st.sidebar.header("📥 İşlem Detayları / Transaction Details")
step = st.sidebar.number_input("Adım / Step", value=st.session_state.get('step', 1))
type_options = ["CASH_OUT", "TRANSFER", "PAYMENT", "DEBIT"]
type_input = st.sidebar.selectbox("Tür / Type", type_options,
index=type_options.index(st.session_state.get('type', 'CASH_OUT')))
amount = st.sidebar.number_input("Tutar / Amount", value=st.session_state.get('amount', 0.0))
oldbalanceOrg = st.sidebar.number_input("Gönderen Eski Bakiye / Sender Old Bal.", value=st.session_state.get('oldorg', 0.0))
newbalanceOrig = st.sidebar.number_input("Gönderen Yeni Bakiye / Sender New Bal.", value=st.session_state.get('neworg', 0.0))
oldbalanceDest = st.sidebar.number_input("Alıcı Eski Bakiye / Receiver Old Bal.", value=0.0)
newbalanceDest = st.sidebar.number_input("Alıcı Yeni Bakiye / Receiver New Bal.", value=0.0)
# Veriyi hazırlama / Data Preparation
input_df = pd.DataFrame([[step, amount, oldbalanceOrg, newbalanceOrig, oldbalanceDest, newbalanceDest]],
columns=["step", "amount", "oldbalanceOrg", "newbalanceOrig", "oldbalanceDest", "newbalanceDest"])
for t in type_options:
input_df["type_" + t] = 1 if type_input == t else 0
input_df = input_df.reindex(columns=cols, fill_value=0)
# --- ANALİZ VE SONUÇ / ANALYSIS AND RESULT ---
st.divider()
if st.button("🔍 ANALİZ ET / ANALYZE NOW", use_container_width=True):
prediction = model.predict(input_df)
res_col1, res_col2 = st.columns([1, 2])
with res_col1:
if prediction[0] == 1:
st.error("🚨 SONUÇ / RESULT: ŞÜPHELİ / FRAUD")
st.metric(label="Risk", value="HIGH / YÜKSEK")
else:
st.success("✅ SONUÇ / RESULT: GÜVENLİ / SAFE")
st.metric(label="Risk", value="LOW / DÜŞÜK")
with res_col2:
st.subheader("📝 Karar Analizi / Decision Analysis")
if prediction[0] == 1:
st.write("🚩 **Neden Şüpheli? / Why Fraud?**")
st.write("- Tr: İşlem türü yüksek riskli grupta. / En: High-risk transaction type.")
if amount >= oldbalanceOrg and amount > 0:
st.write("- Tr: Hesap bakiyesi tamamen boşaltılıyor. / En: Account is being emptied.")
else:
st.write("🛡️ **Neden Güvenli? / Why Safe?**")
st.write("- Tr: Şüpheli bir bakiye hareketi saptanmadı. / En: No suspicious balance movement detected.")
if type_input in ["PAYMENT", "DEBIT"]:
st.write("- Tr: Düşük riskli işlem kategorisi. / En: Low-risk category.")
st.sidebar.markdown("---")
st.sidebar.caption("Dev: Esma | Model: Random Forest") |