[Solved]: TypeError: Cannot interpret feed_dict key as Tensor: Tensor Tensor is not an element of this graph

Solution:  Flask uses multiple threads. The problem you are running into is because the tensorflow model is not loaded and used in the same thread. One workaround is to force tensorflow to use the global default graph.

This worked for me

from keras import backend as K

and after predicting my data I inserted this part of code then I had again loaded the model.

K.clear_session()

Example:

import json

from flask import Flask, request

from flask_restful import Api

from load import model_load

from sentiment import get_sentiment

from keras import backend as K

app = Flask(__name__)

api = Api(app)

@app.route('/text/sent', methods=['POST'])

def sentiment_post():

        text = request.json.get('text')

        sent = get_sentiment(text)

        K.clear_session()

        res = {}

        res['Negative'] = '%f'%sent[0]

        res['Positive'] = '%f'%sent[1]

        return json.dumps(res)

if __name__ == '__main__':

    app.run(host='0.0.0.0', port=5000, debug=True)