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Feature_scaler.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8b419d6f7eca247b58daa7b3f69d4ed1e95513049594496a8355919c116d958a
+size 1303

Yogyakarta_Housing_Price_Prediction.py

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+#Make gradio
+from joblib import load
+import gradio as gr
+import numpy as np
+encoder_location = load("encoder.pkl")
+regressor_model = load("Yogyakarta_housing_price_prediction_model.pkl")
+# features ['bed', 'bath', 'carport', 'surface_area(m2)', 'building_area(m2)', 'location']
+output_scaler = load("label_scaler.pkl")
+input_scaler = load("Feature_scaler.pkl")
+def Yogyakarta_Housing_Price_Prediction(bed,bath,carport,surface_are,building_area,location):
+    encoded_location = encoder_location.transform([[location]])[0]
+    input_features = np.array([[bed,bath,carport,surface_are,building_area,encoded_location]])
+    input_features = input_scaler.transform(input_features)
+    predicted_price = regressor_model.predict(input_features)
+    predicted_price = predicted_price.reshape(-1,1)
+    predicted_price = output_scaler.inverse_transform(predicted_price)
+    predicted_price = predicted_price[0][0]
+    if predicted_price >= 1000000000:
+        return f"Rp {np.round((predicted_price/1000000000),4)} Milliar"
+    else:
+        return f"Rp {np.round((predicted_price/1000000),2)} Juta"
+UI = gr.Interface(fn = Yogyakarta_Housing_Price_Prediction,
+                  inputs = [
+                      gr.Number(label="Jumlah Kamar"),
+                      gr.Number(label="Jumlah Kamar Mandi"),
+                      gr.Number(label = "Jumlah Parkiran"),
+                      gr.Slider(1,2000,step=1,label = "Luas lahan (m²)"),
+                      gr.Slider(1,2000,step = 1, label = "Luas Bangunan (m²)"),
+                      gr.Dropdown(["Bantul","Sleman","Yogyakarta"], label = "Lokasi")
+                  ],
+                  outputs = gr.Label(label = "Prediksi Harga Rumah"),
+                  title = "Prediksi Harga Rumah di DIY")
+UI.launch()

Yogyakarta_housing_price_prediction_model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b9f52fce722134932dd432c2faea87add6fc45739198bb6b6a33e550a0018ad7
+size 2519889

encoder.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ef5b665fbda8e526dba6b0cc4af7cd673e5adab0a9d472aa260845cbdb8c94c8
+size 561

label_scaler.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:28b60771591720c815edba1c1fdaef3a6f0448bc0886c47d73c2bbc1b934daae
+size 1023

requirements.txt

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+numpy==1.26.4
+scikit-learn == 1.6.0