Update app.py

app.py

@@ -1,4 +1,5 @@
 import streamlit as st
+from sklearn import neighbors, datasets
 
 with st.form(key='my_form'):
   sLen = st.slider('sepal lenght(cm)', 0.0, 10.0)
@@ -12,4 +13,4 @@ x,y = iris.data, iris.target
 knn = neighbors.KNeighborsClassifier(n_neighbors=4)
 knn.fit(x,y)
 Predict = knn.predict([[sLen,sWid,pLen,pWid]])
-print(iris.target_names[knn.predict([[3,5,4,2]])])
+st.text(iris.target_names[Predict])