DetectionMalwareBehavior/webapi.py at master · bienkma/DetectionMalwareBehavior · GitHub

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from flask import Flask, request
from sklearn.externals import joblib

app = Flask(__name__)
ALLOW_EXTENSION = set(['csv'])


def upload(text_file_contents):
    return text_file_contents.replace("=", ",")


def allowed_file(filename):
    return '.' in filename and \
           filename.rsplit('.', 1)[1] in ALLOW_EXTENSION


@app.route('/')
def form():
    return """
        <html>
            <body>
                <h1>Upload Virus Behavior</h1>

                <form action="/upload" method="post" enctype="multipart/form-data">
                    <input type="file" name="data_file" />
                    <input type="submit" />
                </form>
            </body>
        </html>
    """


@app.route('/upload', methods=["POST"])
def upload_view():
    f = request.files['data_file']
    if f.filename == '':
        return "File not selected"
    if f and allowed_file(f.filename):
        # You can import full path pkl if error.
        clf = joblib.load('./model/rf.pkl')
        vectorizer = joblib.load('./model/vt.pkl')
        sw = vectorizer.transform(f)
        result = clf.predict(sw)
        return "Result: %s" % result


if __name__ == "__main__":
    app.run(host='0.0.0.0', port=1188, debug=True)