test_interface

app.py

@@ -104,7 +104,7 @@ import streamlit as st
 import pandas as pd
 import pickle
 # Load Model
-model = pickle.load(open('logreg_model.pkl', 'rb'))
+#model = pickle.load(open('logreg_model.pkl', 'rb'))
 st.title('Iris Variety Prediction')
 # Form
 with st.form(key='form_parameters'):
@@ -121,8 +121,4 @@ data_inf = {
    'petal.length': petal_length,
    'petal.width': petal_width
 }
-data_inf = pd.DataFrame([data_inf])
-if submitted:
-   # Predict using Logistic Regression
-   y_pred_inf = model.predict(data_inf)
-   st.write('## Iris Variety = '+ str(y_pred_inf))
+data_inf = pd.DataFrame([data_inf])