Hi, just need a bit of help with my chatbot

<pre>def bag_of_words(sentence):
    # tokenize the pattern
    sentence_words = clean_sentence(sentence)
    # bag of words - matrix of N words, vocabulary matrix
    bag = [0] * len(words)
    for s in sentence_words:
        for i, word in enumerate(words):
            if word == s:
                bag[i] = 1
    return np.array(bag)


def prediction(sentence):
    # filter out predictions below a threshold
    bow = bag_of_words(sentence)
    res = model.predict(np.array([bow]))[0]
    ERROR_THRESHOLD = 0.75
    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 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

def chat(msg):
    ints = prediction(msg)
    
    print(ints[0])

    res = response(ints, intents)
    return res

I've tried to implement an if-else statement in the results variable, so that i can try code an output to r < ERROR THRESHOLD but its giving me an error.