fixed write

app.py

@@ -132,9 +132,9 @@ if st.button("Start"):
     close_stock = closedf.copy()
     close_stock = close_stock[["Date", "close"]]
 
-    st.write(closedf.shape)
+    # st.write(closedf.shape)
     close_stock_train, close_stock_test = train_test_split(close_stock, train_size=0.60)
-    st.write(close_stock_train.shape)
+    # st.write(close_stock_train.shape)
 
     closedfsc, scaler = normalize(closedf=closedf)
     training_size = int(len(closedf) * 0.60)
@@ -142,8 +142,8 @@ if st.button("Start"):
     train_set, test_set = split_train_test(
         closedfsc=closedfsc, training_size=training_size, test_size=test_size
     )
-    st.write(train_set.shape)
-    time_step = 15
+    # st.write(train_set.shape)
+    time_step = int(days/2)
     X_train, y_train = create_dataset(train_set, time_step)
     X_test, y_test = create_dataset(test_set, time_step)
     X_train = X_train.reshape(X_train.shape[0], X_train.shape[1], 1)

requirements.txt

@@ -5,4 +5,6 @@ pybitget
 keras
 scikit-learn
 matplotlib
-tqdm
+tqdm
+tensorflow
+plotly