Update app.py

app.py

@@ -7,23 +7,25 @@ from sklearn.model_selection import train_test_split
 from sklearn.linear_model import LinearRegression
 from sklearn.metrics import mean_squared_error, r2_score
 from sklearn.compose import ColumnTransformer
-from sklearn.preprocessing import OneHotEncoder, StandardScaler
+from sklearn.preprocessing import StandardScaler
 from sklearn.pipeline import Pipeline
 import streamlit as st
 
 # Veri okuma
 df = pd.read_excel('Untitled3.xlsx')
 
+# Hedef değişken ve özellikler
 y = df.BIST30
-X = df.drop(['BIST30','Date','AylıkVadeliMevudatFaizOranı', 'TÜFE', 'İmalatSanayiKapasiteKullanımOranı','YiÜFE', 'USDTL',
-             'SanayiÜretimEndeksi', 'TüketiciGüvenEndeksi', 'LnBist', 'LnAylıkMFO','LnYİÜFE','LnSÜE','ZBIST30',
+X = df.drop(['BIST30', 'Date', 'AylıkVadeliMevudatFaizOranı', 'TÜFE', 'İmalatSanayiKapasiteKullanımOranı', 'YiÜFE', 'USDTL',
+             'SanayiÜretimEndeksi', 'TüketiciGüvenEndeksi', 'LnBist', 'LnAylıkMFO', 'LnYİÜFE', 'LnSÜE', 'ZBIST30',
              'ZLnBist', 'COO_1'], axis=1)
 
+# Veriyi eğitim ve test setlerine ayırma
 X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
 
 # Ön işleme adımları
 preprocess = ColumnTransformer(transformers=[
-    ('num', StandardScaler(), ['LnTUFE','LnİSKO','LnUSDTL','LnTGE']),
+    ('num', StandardScaler(), ['LnTUFE', 'LnİSKO', 'LnUSDTL', 'LnTGE']),
 ])
 
 # Model tanımlama
@@ -38,27 +40,25 @@ y_pred = pipe.predict(X_test)
 print("Root Mean Squared Error: ", mean_squared_error(y_test, y_pred) ** 0.5)
 print("R^2 Score: ", r2_score(y_test, y_pred))
 
-
-def fail():
+# Tahmin fonksiyonu
+def predict_bist30(LnTUFE, LnİSKO, LnUSDTL, LnTGE):
     input_data = pd.DataFrame({
-        'LnTufe': [LnTUFE],
-        'LNİSKO': [LnİSKO],
+        'LnTUFE': [LnTUFE],
+        'LnİSKO': [LnİSKO],
         'LnUSDTL': [LnUSDTL],
         'LnTGE': [LnTGE]
-
     })
     prediction = pipe.predict(input_data)[0]
     return prediction
 
-
+# Streamlit arayüzü
 st.title("Bist30 Tahmini: @YED")
 st.write("Lütfen Aşağıdaki bilgileri giriniz.")
-LnTUFE = st.number_input("LnTufe", 0.00, 10000.00)
+LnTUFE = st.number_input("LnTUFE", 0.00, 10000.00)
 LnİSKO = st.number_input("LnİSKO", 0.00, 10000.00)
 LnUSDTL = st.number_input("LnUSDTL", 0.00, 10000.00)
 LnTGE = st.number_input("LnTGE", 0.00, 10000.00)
 
 if st.button("Predict"):
-	pred=BIST30(LnTUFE,LnİSKO,LnUSDTL,LnTGE)
-
-	st.write("Bist30 Tahmini :",round(pred,2))
+    pred = predict_bist30(LnTUFE, LnİSKO, LnUSDTL, LnTGE)
+    st.write("Bist30 Tahmini:", round(pred, 2))