ChildProcess close with all studio code 1 - machine-learning

Question

I was trying to deploy ml model using node_js with help of ChildProcess package ,while running __predict(), it is taking too long and end with code_1 error.
Here I share all related code to decode the issue :
Model python code -->
import keras
import time
start = time.time()
encoder = keras.models.load_model('enc', compile = False)
decoder = keras.models.load_model('dec', compile = False)
import numpy as np
from flask import Flask, request, jsonify , render_template
import tensorflow as tf
import pickle
import string
import re
from keras_preprocessing.sequence import pad_sequences
def initialize_hidden_state():
return tf.zeros((1, 1024))
eng_tokenizer , hin_tokenizer = pickle.load( open('tokenizer.pkl','rb'))
def clean(text):
text = text.lower()
special_char = set(string.punctuation+'।') # Set of all special characters
# Remove all the special characters
text = ''.join(word for word in text if word not in special_char)
seq = eng_tokenizer.texts_to_sequences([text])
seq = pad_sequences(seq, maxlen=23, padding='post')
return seq
def __predict(data):
# Get the data from the POST request.
#data = request.get_json(force=True)
clean_input = clean(data)
# Make prediction using model loaded from disk as per the data.
hidden_enc = initialize_hidden_state()
enc_out, enc_hidden = encoder(clean_input, hidden_enc)
result = ''
dec_hidden = enc_hidden
dec_input = tf.expand_dims(hin_tokenizer.texts_to_sequences(['<Start>'])[0], 0)
#------------------------------------------------------------------
for t in range(25):
predictions, dec_hidden, attention_weights = decoder(dec_input, dec_hidden, enc_out)
predicted_id = tf.argmax(predictions[0]).numpy()
x = hin_tokenizer.sequences_to_texts([[predicted_id]])[0]
if x == 'end':
break
result += x + ' '
# the predicted ID is fed back into the model
dec_input = tf.expand_dims([predicted_id], 0)
CLEANR = re.compile(r"([A-Za-z])", re.DOTALL)
result = re.sub(CLEANR, '', result)
return result
# import json
# with open('data.json', 'r') as openfile:
# json_object = json.load(openfile).get('data')
data =__predict("file")
end= time.time()
# print(start-end)
data1 = data +"abcd"
print(data1)
# print("abcd")
# dictionary = {
# "data": data,
# }
# json_object = json.dumps(dictionary, indent=2)
# with open("result.json", "w") as outfile:
# outfile.write(json_object)
When I type print("abcd") or print(start-end), it is giving result ,ending with code_0. But when I type print("data") not giving any result and ending with code_1 .
Here is the childProcess code -->
app.get('/', (req, res) => {
let dataToSend
let largeDataSet = []
// spawn new child process to call the python script
const python = spawn('python', ['app.py'])
// console.log(python);
// collect data from script
python.stdout.on('data', function (data) {
console.log('Pipe data from python script ...')
//dataToSend = data;
largeDataSet.push(data)
})
// in close event we are sure that stream is from child process is closed
python.on('close', (code) => {
console.log(`child process close all stdio with code ${code}`)
// send data to browser
// largeDataSet = []
console.log(largeDataSet.join(''));
res.send(largeDataSet.join(''))
})
})
Here is the error --->
child process close all stdio with code 1
Pls help , I tried to understand the problem but failed severely even in understanding it.
Thanks in advance !!!