Update app.py

app.py

@@ -1,7 +1,9 @@
 import streamlit as st
-import numpy as np
-from lib_pipeline import TabularRegressionPipeLine
+import requests
 
+url = 'https://automatethem.pythonanywhere.com/son-height-tabular-regression-scikit-learn/api'
+
+'''
 @st.cache(allow_output_mutation=True)
 def get_pipeline():
     model_path = 'automatethem-com/son-height-tabular-regression-scikit-learn'
@@ -9,6 +11,7 @@ def get_pipeline():
     return p
         
 p = get_pipeline()
+'''
 
 number = st.number_input('아버지 키', value=175.0, step=0.1)
 button = st.button('아들 키 예측')
@@ -16,10 +19,8 @@ button = st.button('아들 키 예측')
 if button:
     container = st.container()
     container.caption("예측 결과")
-    x = [
-        [number]
-    ]
-    results = p(x)
-    result = results[0]
-    logit = result['logit']
-    container.text(logit)
+    payload = {'data': [{'x': str(number)}]}
+    response = requests.post(url, json=payload)
+    outputs = response.json()
+    #print(outputs) #{'data': [{'logit': 175.99442286524624}]}
+    container.text(outputs['data'][0]['logit'])