Update app.py
Browse files
app.py
CHANGED
@@ -2,6 +2,7 @@ import gradio as gr
|
|
2 |
import pickle
|
3 |
import json
|
4 |
import numpy as np
|
|
|
5 |
|
6 |
# Load model and columns
|
7 |
with open("kigali_model.pickle", "rb") as f:
|
@@ -58,11 +59,11 @@ def predict(size_sqm, number_of_bedrooms, number_of_bathrooms, number_of_floors,
|
|
58 |
|
59 |
# Define Gradio interface components
|
60 |
inputs = [
|
61 |
-
gr.Number(label="Size (sqm)",
|
62 |
-
gr.Number(label="Number of Bedrooms",
|
63 |
-
gr.Number(label="Number of Bathrooms",
|
64 |
-
gr.Number(label="Number of Floors",
|
65 |
-
gr.Number(label="Parking Space",
|
66 |
gr.Dropdown(choices=list(location_mapping.keys()), label="Location"),
|
67 |
gr.Dropdown(choices=list(property_type_mapping.keys()), label="Property Type")
|
68 |
]
|
|
|
2 |
import pickle
|
3 |
import json
|
4 |
import numpy as np
|
5 |
+
import pandas as pd
|
6 |
|
7 |
# Load model and columns
|
8 |
with open("kigali_model.pickle", "rb") as f:
|
|
|
59 |
|
60 |
# Define Gradio interface components
|
61 |
inputs = [
|
62 |
+
gr.Number(label="Size (sqm)", value=0),
|
63 |
+
gr.Number(label="Number of Bedrooms", value=0),
|
64 |
+
gr.Number(label="Number of Bathrooms", value=0),
|
65 |
+
gr.Number(label="Number of Floors", value=0),
|
66 |
+
gr.Number(label="Parking Space", value=0),
|
67 |
gr.Dropdown(choices=list(location_mapping.keys()), label="Location"),
|
68 |
gr.Dropdown(choices=list(property_type_mapping.keys()), label="Property Type")
|
69 |
]
|