Update app.py

app.py

@@ -5,7 +5,7 @@ import streamlit.components.v1 as components
 
 # Load the pickled model
 def load_model():
-    return pickle.load(open('Profit_Prediction_LinearRegresssion.pkl', 'rb')) #change
+    return pickle.load(open('Profit_Prediction_LinearRegresssion.pkl', 'rb'))
 
 # Function for model prediction
 def model_prediction(model, features):
@@ -13,22 +13,17 @@ def model_prediction(model, features):
     return predicted
 
 def app_design():
-    # Add input fields for High, Open, and Low values
-    image = '29.png' #change
+    
+    image = '29.png' 
     st.image(image, use_column_width=True)
     
-    st.subheader("Enter the following values:") #change
+    st.subheader("Enter the following values:") 
 
     RD_Spend = st.number_input("RD Spend")
     Administration= st.number_input("Administration")
     Marketing_Spend= st.number_input("Marketing_Spend")
     State= st.number_input("State")
     
-    
-    
-        
-    
- 
     # Create a feature list from the user inputs
     features = [[RD_Spend, Administration, Marketing_Spend, State]]