Update app.py

app.py

@@ -27,6 +27,7 @@ Shown is the stock prediction of the next working day taking into account the la
 
 model = keras.models.load_model('model_stock_prices.h5')
 
+working_days = st.sidebar.slider("Working days to take into account in the prediction", min_value = 10, max_value=30)
 
 
 
@@ -82,7 +83,6 @@ ds = np.array(ds)
 
 
 predictions = model.predict(ds)
-predictions
 p = predictions[0][0][0]
 p = float(p)
 a = np.array([0,0,0,p,0,0,0,0])