Create app.py

app.py

@@ -0,0 +1,22 @@
+from huggingface_hub import notebook_login
+
+notebook_login()
+
+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)