Update app.py

app.py

@@ -23,20 +23,16 @@ colsample_bytree_input = st.slider("Colsample bytree", 0.0, 1.0, 0.5)
 learning_rate_input = st.slider("Learning rate", 0.0, 1.0, 0.2)
 alpha_input = st.slider("Alpha", 1, 100, 10)
 n_estimators_input = st.slider("n estimators", 1, 100, 20)
-city_input = st.selectbox(
-     'Which city do you want to predict rain ?',
-     ("Canberra",
-    "Albury",
-    "Penrith",
-    "Sydney",
-    "MountGinini",
-    "Bendigo",
-    "Brisbane",
-    "Portland"), index=0)
+
 
 
 df = pd.read_csv("new_dataset.csv")
 
+city_input = st.selectbox(
+     'Which region do you want to predict temparature ?',
+     ("all",
+     df["Region"].unique()), index=0)
+
 def mergeStateToCountry():
     df.loc[df['State'].notna(), 'Country'] = df['State']
     df = df.loc[:, ~df.columns.str.contains('State')]