Update app.py

app.py

@@ -1,65 +1,34 @@
 import joblib
 import pandas as pd
+import streamlit as st
 
 
-EDU_DICT = {'Preschool': 1,
-            '1st-4th': 2,
-            '5th-6th': 3,
-            '7th-8th': 4,
-            '9th': 5,
-            '10th': 6,
-            '11th': 7,
-            '12th': 8,
-            'HS-grad': 9, 
-            'Some-college': 10,
-            'Assoc-voc': 11,
-            'Assoc-acdm': 12,
-            'Bachelors': 13,
-            'Masters': 14,
-            'Prof-school': 15,
-            'Doctorate': 16
+EDU_DICT = {'Iris-setosa': 1,
+            'Iris-versicolor': 2,
+            'Iris-virginica': 3,
             }
 
-model = #
-unique_values = #
+model = joblib.load('model.joblib')
+unique_values = joblib.load('unique_values.joblib')
     
-unique_class =  unique_values["workclass"]
-unique_education =  unique_values["education"]
-unique_marital_status =  unique_values["marital.status"]
-unique_relationship =  unique_values["relationship"]
-unique_occupation =  unique_values["occupation"]
-unique_sex =  unique_values["sex"]
-unique_race = unique_values["race"]
-unique_country =  unique_values["native.country"]
-
 def main():
-    st.title("Adult Income")
+    st.title("Iris's Class")
 
     with st.form("questionaire"):
-        age = # user's input
-        workclass = # user's input
-        education = # user's input
-        Marital_Status = # user's input
-        occupation = # user's input
-        relationship = # user's input
-        race = # user's input
-        sex = # user's input
-        hours_per_week = # user's input
-        native_country = # user's input
+        sepal length = st.slider("Sepal_length", min_value=0, max_value=6)
+        sepal width = st.slider("Sepal_width", min_value=0, max_value=6)
+        petal length = st.slider("Petal_length", min_value=0, max_value=6)
+        petal width = st.slider("Petal_width", min_value=0, max_value=6)
 
         # clicked==True only when the button is clicked
-        clicked = st.form_submit_button("Predict income")
+        clicked = st.form_submit_button("Predict class")
         if clicked:
-            result=model.predict(pd.DataFrame({"age": [age],
-                                               "workclass": [workclass],
-                                               "education": [EDU_DICT[education]],
-                                               "marital.status": [Marital_Status],
-                                               "occupation": [occupation],
-                                               "relationship": [relationship],
-                                               "race": [race],
-                                               "sex": [sex],
-                                               "hours.per.week": [hours_per_week],
-                                               "native.country": [native_country]}))
+            result=model.predict(pd.DataFrame({"sepal length": [sepal length],
+                                               "sepal width": [sepal width],
+                                               "petal length": [petal length],
+                                               "petal width": [petal width]}))
             # Show prediction
-
-# Run main()
+            result = "class" : [iris_DICT[class]]
+            st.success("Your predicted class is"+result)
+if __name__ == "__main__":
+    main()