Update app.py

app.py

@@ -1,6 +1,35 @@
 import gradio as gr
-print("🚀 Boot reached main()")  # should appear in Logs immediately
+import numpy as np
+import joblib
+import pandas as pd
+import matplotlib.pyplot as plt
 
-def hi(x): return f"Hi {x}"
-if __name__ == "__main__":
-    gr.Interface(hi, "text", "text", title="Boot Test").launch()
+housing = pd.read_csv('housing.csv')
+model = joblib.load('housing_model.pkl')
+
+def predict_price(longitude, latitude, housing_median_age, total_rooms, total_bedrooms, population, households, median_income):
+    features = np.array([[longitude, latitude, housing_median_age, total_rooms, total_bedrooms, population, households, median_income]])
+    prediction = model.predict(features)
+    return prediction[0]
+def predict_plot(longitude, latitude, housing_median_age, total_rooms, total_bedrooms, population, households, median_income):
+    prediction = predict_price(longitude, latitude, housing_median_age, total_rooms, total_bedrooms, population, households, median_income)
+
+    sc = housing.plot(kind="scatter", x="longitude", y="latitude", alpha=0.4,
+    s=housing["population"]/100, label="population", figsize=(10,7),
+    c="median_house_value", cmap=plt.get_cmap("jet"), colorbar=True,
+    sharex=False, title = "Predicted Housing Price")
+    sc.scatter(longitude, latitude, s=250, c="red", marker="X", label = "Your Input")
+    plt.legend()
+    fig = sc.get_figure()
+    return prediction, fig
+
+input1 = gr.Slider(value = -125, minimum=-125, maximum=-114, step = 0.01, label="Longitude")
+input2 = gr.Slider(value = 32, minimum=32, maximum=42, step = 0.01, label="Latitude")
+input3 = gr.Slider(value = 1, minimum=1, maximum=52, step = 1, label="Housing Median Age")
+input4 = gr.Number(label = "Total Rooms")
+input5 = gr.Number(label = "Total Bedrooms")
+input6 = gr.Number(label = "Population")
+input7 = gr.Number(label = "Households")
+input8 = gr.Slider(value = 0,minimum=0, maximum=15,step = 0.1, label = "Median Income")
+
+gr.Interface(predict_plot, [input1, input2, input3, input4, input5, input6, input7, input8], outputs = [gr.Textbox(label="prediction"), gr.Plot(label="Scatter Plot")], title = "Housing Price Prediction").launch()