Update app.py

app.py

@@ -44,26 +44,26 @@ def predict_price(
 ui=gd.Interface(
     fn=predict_price,
     inputs=[ 
-        gd.inputs.Textbox(type="textbox", placeholder="id",label="ID"),
-        gd.inputs.Textbox(type="textbox", placeholder="date",label="DATE"),
-        gd.inputs.Textbox(type="textbox", placeholder="bedrooms",numeric=True,label="BEDROOMS"),
-        gd.inputs.Textbox(type="textbox", placeholder="bathrooms",numeric=True,label="BATHROOMS"),
-        gd.inputs.Textbox(type="textbox", placeholder="sqft_living",numeric=True,label="SQFT_LIVING"),
-        gd.inputs.Textbox(type="textbox", placeholder="sqft_lot",numeric=True,label="SQFT_LOT"),
+        gd.inputs.Textbox(type="text", placeholder="id",label="ID"),
+        gd.inputs.Textbox(type="text", placeholder="date",label="DATE"),
+        gd.inputs.Textbox(type="text", placeholder="bedrooms",numeric=True,label="BEDROOMS"),
+        gd.inputs.Textbox(type="text", placeholder="bathrooms",numeric=True,label="BATHROOMS"),
+        gd.inputs.Textbox(type="text", placeholder="sqft_living",numeric=True,label="SQFT_LIVING"),
+        gd.inputs.Textbox(type="text", placeholder="sqft_lot",numeric=True,label="SQFT_LOT"),
         gd.Dropdown([1. , 2. , 1.5, 3. , 2.5, 3.5],label="FLOORS"),
         gd.Dropdown([0,1],label="WATERFRONT"),
         gd.Dropdown([0, 1, 2, 3, 4],label="VIEW"),
         gd.Dropdown([1,2,3,4,5],label="CONDITION"),
-        gd.inputs.Textbox(type="textbox", placeholder="grade",numeric=True,label="GRADE"),
-        gd.inputs.Textbox(type="textbox", placeholder="sqft_above",numeric=True,label="SQFT_ABOVE"),
-        gd.inputs.Textbox(type="textbox", placeholder="sqft_basement",numeric=True,label="SQFT_BASEMENT"),
-        gd.inputs.Textbox(type="textbox", placeholder="yr_built",numeric=True,label="YR_BUILT"),
-        gd.inputs.Textbox(type="textbox", placeholder="yr_renovated",numeric=True,label="YR_RENOVATED"),
-        gd.inputs.Textbox(type="textbox", placeholder="zipcode",label="ZIPCODE"),
-        gd.inputs.Textbox(type="textbox", placeholder="lat",numeric=True,label="LATITUDE"),
-        gd.inputs.Textbox(type="textbox", placeholder="long",numeric=True,label="LONGITUDE"),
-        gd.inputs.Textbox(type="textbox", placeholder="sqft_living15",numeric=True,label="SQFT_LIVING15"),
-        gd.inputs.Textbox(type="textbox", placeholder="sqft_lot15",numeric=True,label="SQFT_LOT15"),
+        gd.inputs.Textbox(type="text", placeholder="grade",numeric=True,label="GRADE"),
+        gd.inputs.Textbox(type="text", placeholder="sqft_above",numeric=True,label="SQFT_ABOVE"),
+        gd.inputs.Textbox(type="text", placeholder="sqft_basement",numeric=True,label="SQFT_BASEMENT"),
+        gd.inputs.Textbox(type="text", placeholder="yr_built",numeric=True,label="YR_BUILT"),
+        gd.inputs.Textbox(type="text", placeholder="yr_renovated",numeric=True,label="YR_RENOVATED"),
+        gd.inputs.Textbox(type="text", placeholder="zipcode",label="ZIPCODE"),
+        gd.inputs.Textbox(type="text", placeholder="lat",numeric=True,label="LATITUDE"),
+        gd.inputs.Textbox(type="text", placeholder="long",numeric=True,label="LONGITUDE"),
+        gd.inputs.Textbox(type="text", placeholder="sqft_living15",numeric=True,label="SQFT_LIVING15"),
+        gd.inputs.Textbox(type="text", placeholder="sqft_lot15",numeric=True,label="SQFT_LOT15"),
     ],
 
     title="HOUSE PRICE PREDICTOR",