UnboundLocalError: local variable 'result' referenced before assignment

[christiannnc]

This is my chatbot.py file, copied from the YouTube video. It yields an UnboundLocalError response that says the variable 'result' is referenced before it is assigned.

import random
import json
import pickle
import numpy as np
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'

import nltk
from nltk.stem import WordNetLemmatizer

from tensorflow.keras.models import load_model

lemmatizer = WordNetLemmatizer()
intents = json.loads(open('Chatbot_intents.json').read())

words = pickle.load(open('words.pkl', 'rb'))
classes = pickle.load(open('classes.pkl', 'rb'))
model = load_model('Chatbot_model.model')

def clean_up_sentence(sentence):
    sentence_words = nltk.word_tokenize(sentence)
    sentence_words = [lemmatizer.lemmatize(word) for word in sentence_words]
    return sentence_words

def bag_of_words(sentence):
    sentence_words = clean_up_sentence(sentence)
    bag = [0] * len(words)
    for w in sentence_words:
        for i, word in enumerate(words):
            if word == w:
                bag[i] = 1
    return np.array(bag)

def predict_class(sentence):
    bow = bag_of_words(sentence)
    res = model.predict(np.array([bow]))[0]
    error_threshold = 0.2
    results = [[i, r] for i, r in enumerate(res) if r > error_threshold]

    results.sort(key=lambda x: x[1], reverse=True)
    return_list = []
    for r in results:
        return_list.append({'intent': classes[r[0]], 'probability': str(r[1])})
    return return_list

def get_response(intents_list, intents_json):
    tag = intents_list[0]['intent']
    list_of_intents = intents_json['intents']
    for i in list_of_intents:
        if i['tag'] == tag:
            result = random.choice(i['responses'])
            break
    return result

print("Hello, I'm an assistant.")

while True:
    message = input("")
    ints = predict_class(message)
    res = get_response(ints, intents)
    print(res)

[zeeNoot]

Have you solve this issue? please let me know, if you did