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author | Nevena Bojovic <nenabojov@gmail.com> | 2022-04-05 22:37:14 +0200 |
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committer | Nevena Bojovic <nenabojov@gmail.com> | 2022-04-05 22:37:14 +0200 |
commit | 480eb6a4e07b130129171d83ca9ba263dfba32c3 (patch) | |
tree | 5476745834426d487a89b24ea3ef13dea85ecfd6 /backend/microservice/api/controller.py | |
parent | c082a15d48ebaa134b2c40b75ab7267d8a5e2036 (diff) | |
parent | 4dbaa82b1448a2cf7b69246ae20ebaae36d03f9b (diff) |
Merge branch 'dev' of http://gitlab.pmf.kg.ac.rs/igrannonica/neuronstellar into dev
Diffstat (limited to 'backend/microservice/api/controller.py')
-rw-r--r-- | backend/microservice/api/controller.py | 13 |
1 files changed, 7 insertions, 6 deletions
diff --git a/backend/microservice/api/controller.py b/backend/microservice/api/controller.py index 524b97b5..1b17f727 100644 --- a/backend/microservice/api/controller.py +++ b/backend/microservice/api/controller.py @@ -1,7 +1,7 @@ import flask from flask import request, jsonify import ml_socket -import ml_service +import newmlservice import tensorflow as tf import pandas as pd @@ -25,7 +25,7 @@ def train(): f = request.json["dataset"] dataset = pd.read_csv(f) # - result = ml_service.train(dataset, request.json["model"], train_callback) + result = newmlservice.train(dataset, request.json["model"], train_callback) print(result) return jsonify(result) @@ -34,16 +34,17 @@ def predict(): f = request.json['filepath'] dataset = pd.read_csv(f) m = request.json['modelpath'] - #model = tf.keras.models.load_model(m) - # - #model.predict? + model = tf.keras.models.load_model(m) + print("********************************model loaded*******************************") + newmlservice.manageH5(dataset,request.json['model'],model) + return "done" @app.route('/preprocess',methods=['POST']) def returnColumnsInfo(): f=request.json['filepathcolinfo'] dataset=pd.read_csv(f) - result=ml_service.returnColumnsInfo(dataset) + result=newmlservice.returnColumnsInfo(dataset) return jsonify(result) |