Update app.py

app.py

@@ -5,14 +5,14 @@ from sklearn.preprocessing import MinMaxScaler
 from sklearn.linear_model import LinearRegression
 import gradio as gr
 
-longitude = gr.inputs.Textbox(label="Longitude")
-latitude = gr.inputs.Textbox(label="Latitude")
-housing_median_age = gr.inputs.Textbox(label="Housing median age")
-total_rooms = gr.inputs.Textbox(label="Total rooms")
-total_bedrooms = gr.inputs.Textbox(label="Total bedrooms")
-population = gr.inputs.Textbox(label="Population")
-households = gr.inputs.Textbox(label="Households")
-median_income = gr.inputs.Textbox(label="Median income")
+longitude = gr.Textbox(label="Longitude")
+latitude = gr.Textbox(label="Latitude")
+housing_median_age = gr.Textbox(label="Housing median age")
+total_rooms = gr.Textbox(label="Total rooms")
+total_bedrooms = gr.Textbox(label="Total bedrooms")
+population = gr.Textbox(label="Population")
+households = gr.Textbox(label="Households")
+median_income = gr.Textbox(label="Median income")
 output_house_value = gr.outputs.Textbox(label="Predicted house value")
 
 def process_function(longitude, latitude, housing_median_age, total_rooms, total_bedrooms, population, households, median_income):