predictor.py

# -*- coding: utf-8 -*-
"""
Created on Mon Apr  8 19:15:12 2019

@author: Quassarian Viper
"""
import numpy as np
from keras.models import model_from_json
from keras.models import load_model

def prediction(img):
    # load json and create model
    json_file = open('cnn2\cnn2.json', 'r')
    
    loaded_model_json = json_file.read()
    json_file.close()
    loaded_model = model_from_json(loaded_model_json)
    
    # load weights into new model
    loaded_model.load_weights("cnn2\cnn2.h5")
    #print("Loaded model from disk")
    
    loaded_model.save('cnn.hdf5')
    loaded_model=load_model('cnn.hdf5')
    
    characters = '०,१,२,३,४,५,६,७,८,९,क,ख,ग,घ,ङ,च,छ,ज,झ,ञ,ट,ठ,ड,ढ,ण,त,थ,द,ध,न,प,फ,ब,भ,म,य,र,ल,व,श,ष,स,ह,क्ष,त्र,ज्ञ'
    characters = characters.split(',')
    
    x = np.asarray(img, dtype = np.float32).reshape(1, 32, 32, 1) / 255 
    
    output = loaded_model.predict(x)
    output = output.reshape(46)
    predicted = np.argmax(output)
    devanagari_label = characters[predicted]
    success = output[predicted] * 100
    
    return devanagari_label, success