试图在 Discord 上运行聊天机器人但得到 AttributeError: 'function' object has no attribute 'get_response'

Question

discord 机器人上线，但是当我尝试在 Discord 上使用“$prototypebot”与聊天机器人交谈时，它会在我的控制台上抛出以下错误消息：

Ignoring exception in on_message
Traceback (most recent call last):
  File "C:\Users\amjad\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.9_qbz5n2kfra8p0\LocalCache\local-packages\Python39\site-packages\discord\client.py", line 343, in _run_event        
    await coro(*args, **kwargs)
  File "C:\Users\amjad\OneDrive\Documents\Goldsmiths\Year 3\Final Year\Project\NLTK Chatbot\main.py", line 108, in on_message
    inp = results.get_response(message.content[13:])
AttributeError: 'function' object has no attribute 'get_response'

我的代码如下：

import nltk
from nltk.stem.lancaster import LancasterStemmer
stemmer = LancasterStemmer()

import numpy
import tflearn
import tensorflow
import random
import json
import pickle

import discord

#Initialising json file
with open("intents.json") as file:
     data = json.load(file)
     
try:
    with open("data.pickle","rb") as f:
        words, labels, training, output = pickle.load(f)
except: 
    words = []
    labels = []
    docs_x = []
    docs_y = []
    
    for intent in data['intents']:
        for pattern in intent['patterns']:
            wrds = nltk.word_tokenize(pattern)
            words.extend(wrds)
            docs_x.append(wrds)
            docs_y.append(intent["tag"])
             
            if intent["tag"] not in labels:
               labels.append(intent["tag"])
               
               
    #remove duplicate          
    words = [stemmer.stem(w.lower()) for w in words if w != "?"]
    words = sorted(list(set(words)))
    
    labels = sorted(labels)
    
    training = [] 
    output = []
    
    out_empty = [0 for _ in range(len(labels))]
    
    for x, doc in enumerate(docs_x):
        bag = []
        wrds = [stemmer.stem(w) for w in doc]
        
        for w in words:
          if w in wrds:
             bag.append(1)
          else:
             bag.append(0)
             
        output_row = out_empty[:]
        output_row[labels.index(docs_y[x])] = 1
        
        training.append(bag)     
        output.append(output_row)
        
    training=numpy.array(training)
    output=numpy.array(output)
    
    with open("data.pickle","wb") as f:
        pickle.dump((words,labels,training,output),f)

tensorflow.compat.v1.reset_default_graph()

net = tflearn.input_data(shape = [None,len(training[0])])
net = tflearn.fully_connected(net,8) 
net = tflearn.fully_connected(net,8)
net = tflearn.fully_connected(net,len(output[0]),activation = "softmax")
net = tflearn.regression(net)

model = tflearn.DNN(net)

model.fit(training, output, n_epoch = 1000, batch_size = 8, show_metric = False )   

def bag_of_words(s, words):

   bag = [0 for _ in range(len(words))]
   s_words = nltk.word_tokenize(s)
   s_words = [stemmer.stem(word.lower()) for word in s_words]

 
   for se in s_words:
       for i,w in enumerate(words):
           if w == se:
              bag[i] = 1

   return numpy.array(bag)

# Discord stuff
client = discord.Client()

@client.event
async def on_message(message):
    if message.author == client.user:
        return
    
    if message.content.startswith("$prototypebot"):
        results = model.predict
        inp = results.get_response(message.content[13:])
        await message.channel.send(inp)
        results = model.predict([bag_of_words(inp,words)])[0]
        results_index = numpy.argmax(results)
        
        if results[results_index] > 0.7:
            tag=labels[results_index]
        
            for tg in data["intents"]:
                if tg["tag"] == tag:
                   responses = tg['responses']
            
            print("Bot:", random.choice(responses))

        else:
          print("I didn't get that. Please try again")  

client.run("TOKEN")

我该如何解决这个错误。 已经尝试研究但无济于事。 使用控制台可以正常工作，但能够在 Discord 上与之交谈会导致此问题。