Update app.py

app.py

@@ -61,23 +61,23 @@ def greet(total_pred_days):
     X = X.rename(columns={'pressure':'sealevelpressure'})
     
     # Merge X and query
-    Y = X.append(Q, ignore_index=True)
+    #Y = X.append(Q, ignore_index=True)
     
     # Data scaling
-    Y = Y.drop(columns = ['conditions', 'name', "datetime", "temp", "tempmax", "tempmin"])
+    X = X.drop(columns = ['conditions', 'name', "datetime", "temp", "tempmax", "tempmin"])
     category_cols = ['conditions']
     cat_std_cols = ['feelslikemax','feelslikemin','feelslike','dew','humidity','precip','precipprob','precipcover','snow','snowdepth','windgust','windspeed','winddir','sealevelpressure','cloudcover','visibility','solarradiation','solarenergy','uvindex']
     scaler_std = proc.StandardScaler()
-    Y.insert(19,"conditions",0)
-    Y.insert(0,"name",0)
+    X.insert(19,"conditions",0)
+    X.insert(0,"name",0)
     
-    Y[cat_std_cols] = scaler_std.fit_transform(Y[cat_std_cols])
-    Y[category_cols] = scaler_std.fit_transform(Y[category_cols])
+    X[cat_std_cols] = scaler_std.fit_transform(X[cat_std_cols])
+    X[category_cols] = scaler_std.fit_transform(X[category_cols])
     
     # Predict
-    preds = model.predict(Y[0:count])
-    preds1= model1.predict(Y[0:count])
-    preds2= model2.predict(Y[0:count])
+    preds = model.predict(X[0:count])
+    preds1= model1.predict(X[0:count])
+    preds2= model2.predict(X[0:count])
     
     for x in range(count):
         if (x != 0):
@@ -90,14 +90,14 @@ def greet(total_pred_days):
 project = hopsworks.login()
 mr=project.get_model_registry()
 
-fs = project.get_feature_store()
-weather_fg = fs.get_or_create_feature_group(
-    name = 'weather_fg',
-    version = 1
-)
-
-query = weather_fg.select_all()
-Q = query.read()
+# fs = project.get_feature_store()
+# weather_fg = fs.get_or_create_feature_group(
+#     name = 'weather_fg',
+#     version = 1
+# )
+# 
+# query = weather_fg.select_all()
+# Q = query.read()
 
 model = mr.get_model("temp_model_new", version=1)
 model_dir=model.download()