app.py

from transformers import pipeline

pipe = pipeline("tabular-regression", model="jwan2021/autotrain-us-housing-prices-1771761511")

import json
import joblib
import pandas as pd

model = joblib.load('model.joblib')
config = json.load(open('config.json'))

features = config['features']

data = pd.read_csv("HomeBuyerInfo.csv")
data = data[features]
data.columns = ["feat_" + str(col) for col in data.columns]

predictions = model.predict(data)  # or model.predict_proba(data)