Update app.py

app.py

@@ -1,7 +1,11 @@
 import streamlit as st
 import pandas as pd
-import requests
-import json
+#import requests
+#import json
+import pickle
+
+with open(r"C:\Users\lenovo\PycharmProjects\MLOPS\Backend\model.pkl", "rb") as f:
+    model = pickle.load(f)
 
 st.write(""" # Mobile Price-Range Prediction""")
 st.sidebar.header("Choose Phone Specs")
@@ -24,5 +28,6 @@ st.subheader("Phone Specs")
 st.write(feats)
 
 if st.button("Result"):
-    res = requests.post(url = "http://0.0.0.0:8008/predict", data=json.dumps(data)).text
+    #res = requests.post(url = "http://0.0.0.0:8008/predict", data=json.dumps(data)).text
+    res = model.predict(feats)
     st.subheader(f"Predicted Price Range: {res}")