Update app.py

app.py

@@ -2,7 +2,14 @@ import streamlit as st
 
 with st.form(key='my_form'):
   sLen = st.slider('sepal lenght(cm)', 0.0, 10.0)
-  sLen = st.slider('sepal width(cm)', 0.0, 10.0)
-  sLen = st.slider('petal lenght(cm)', 0.0, 10.0)
-  sLen = st.slider('petal width(cm)', 0.0, 10.0)
-  st.form_submit_button('Predict')
+  sWid = st.slider('sepal width(cm)', 0.0, 10.0)
+  pLen = st.slider('petal lenght(cm)', 0.0, 10.0)
+  pWid = st.slider('petal width(cm)', 0.0, 10.0)
+  st.form_submit_button('Predict')
+  
+iris = datasets.load_iris()
+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]])])