Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -6,18 +6,16 @@ import numpy as np
|
|
| 6 |
|
| 7 |
app = Flask(__name__)
|
| 8 |
|
| 9 |
-
|
| 10 |
-
loaded_model = joblib.load(saved_model_path)
|
| 11 |
|
| 12 |
-
@app.route(
|
|
|
|
|
|
|
|
|
|
|
|
|
| 13 |
def predict():
|
| 14 |
-
|
| 15 |
-
|
| 16 |
-
|
| 17 |
-
predictions = loaded_model.predict(query_df)
|
| 18 |
-
return jsonify({'predictions': predictions.tolist()})
|
| 19 |
-
except Exception as e:
|
| 20 |
-
return jsonify({'error': str(e)}), 400
|
| 21 |
|
| 22 |
-
|
| 23 |
-
app.run(debug=True)
|
|
|
|
| 6 |
|
| 7 |
app = Flask(__name__)
|
| 8 |
|
| 9 |
+
model = joblib.load("superkart_model.joblib")
|
|
|
|
| 10 |
|
| 11 |
+
@app.route("/")
|
| 12 |
+
def health():
|
| 13 |
+
return "OK"
|
| 14 |
+
|
| 15 |
+
@app.route("/v1/predict", methods=["POST"])
|
| 16 |
def predict():
|
| 17 |
+
data = request.get_json()
|
| 18 |
+
df = pd.DataFrame([data])
|
| 19 |
+
return jsonify({"Sales": model.predict(df).tolist()[0]})
|
|
|
|
|
|
|
|
|
|
|
|
|
| 20 |
|
| 21 |
+
app.run(host="0.0.0.0", port=7860)
|
|
|