def register_prediction_feedback():
try:
sample_text = request.args.get("sample_text", None, type=str)
sample_prediction = request.args.get("sample_prediction",
None,
type=float)
sample = Sample(sample_text, prediction_score=sample_prediction)
correct = request.args.get("correct", None, type=bool)
except:
return jsonify(success=False)
else:
if correct:
if sample_prediction > 0.5:
sample.label = 1
else:
sample.label = 0
else:
if sample_prediction > 0.5:
sample.label = 0
else:
sample.label = 1
sample.labeled = True
push_sample_to_firebase(sample)
# train_single(sample.text, sample.label)
return jsonify(success=True)
