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flask_ml_api.py

@@ -0,0 +1,19 @@
+#!flask/bin/python
+from flask import Flask, jsonify, request
+import joblib
+import pandas as pd
+
+app = Flask(__name__)
+
+@app.route('/predict/tx', methods=['GET'])
+def create_task():
+    tx_data = request.json
+    #model = joblib.load('model0.pipeline')
+    model.predict([[]])
+    #tx_data['P'] = model.best_estimator_.predict(df)[0]
+    #cwd.write_json_table(tx_data)
+    #tx_data['P'] = str(tx_data['P'])
+    return jsonify("Hello World"), 201
+
+if __name__ == '__main__':
+    app.run(debug=True)