Update app.py

app.py

@@ -113,85 +113,4 @@ st.subheader('Price of House is : ')
 st.write(str(user_result))
 st.title('output')
 st.subheader('r2_score: ')
-st.write(str(r2_score(y_test, lr.predict(x_test))*100)+'%')
-
-
-# HEADINGS
-st.title('House Price Prediction')
-st.sidebar.header('Housing Data')
-st.subheader('Training Data Stats')
-st.write(df.describe())
-
-
-# X AND Y DATA
-x = df.drop(['SalePrice'], axis = 1)
-y = df.iloc[:, -1]
-x_train, x_test, y_train, y_test = train_test_split(x,y, test_size = 0.2, random_state = 0)
-
-
-# FUNCTION
-def user_report():
-  MSSubClass = st.sidebar.slider('MSSubClass', 0,60, 200 )
-  LotArea = st.sidebar.slider('LotArea', 0,5,10 )
-  OverallQual = st.sidebar.slider('OverallQual', 0,5, 10 )
-  OverallCond = st.sidebar.slider('OverallCond', 2,7, 3 )
-  YearBuilt = st.sidebar.slider('YearBuilt', 1872,1900, 201 )
-  YearRemodAdd = st.sidebar.slider('YearRemodAdd', 170,70000, 5000 )
-  BsmtFinSF1 = st.sidebar.slider('BsmtFinSF1', 170,70000, 5000 )
-  BsmtUnfSF = st.sidebar.slider('BsmtUnfSF', 170,70000, 5000 )
-  BsmtFinSF2 = st.sidebar.slider('BsmtFinSF2', 170,70000, 5000 )
-  TotalBsmtSF = st.sidebar.slider('TotalBsmtSF', 170,70000, 5000 )
-  SalePrice = st.sidebar.slider('SalePrice', 170,70000, 5000 )  
-  
-
-  user_report_data = {
-      'MSSubClass':MSSubClass,
-      'LotArea':LotArea,
-      'OverallQual':OverallQual,
-      'OverallCond': OverallCond,
-      'YearBuilt':YearBuilt,
-      'YearRemodAdd': YearRemodAdd,
-	  'BsmtFinSF1': BsmtFinSF1,
-	  'BsmtUnfSF': BsmtUnfSF,
-	  'BsmtFinSF2': BsmtFinSF2,
-	  'TotalBsmtSF': TotalBsmtSF,
-      'SalePrice': SalePrice,
-  }
-  report_data = pd.DataFrame(user_report_data, index=[0])
-  return report_data
-
-
-
-
-# Housing Data
-user_data = user_report()
-st.subheader('Housing Data')
-st.write(user_data)
-
-
-# MODEL
-lr  = LinearRegression()
-lr.fit(x_train, y_train)
-user_result = lr.predict(user_data)
-
-
-
-# VISUALISATIONS
-st.title('Visualised Housing Data')
-
-
-
-# COLOR FUNCTION
-if user_result[0]==0:
-  color = 'blue'
-else:
-  color = 'red'
-
-
-
-# OUTPUT
-st.subheader('Price of House is : ')
-st.write(str(user_result))
-st.title('output')
-st.subheader('r2_score: ')
-st.write(str(r2_score(y_test, lr.predict(x_test))*100)+'%')
+st.write(str(r2_score(y_test, lr.predict(x_test))*100)+'%')