Python 语音识别和 Chatterbot
Python Speech Recognition and Chatterbot
我目前正在放学期间构建个人助理机器人作为挑战。我目前在整合 ChatterBot with a SpeechRecognition 时遇到问题。当我在同一个文件中调用两者时，我没有收到任何错误：
import speech_recognition as sr
from chatterbot import ChatBot
def setup():
chatbot = ChatBot(
'Ron Obvious',
trainer='chatterbot.trainers.ChatterBotCorpusTrainer'
)
# Train based on the english corpus
chatbot.train("chatterbot.corpus.english")
while True:
get_response(chatbot)
def get_response(chatbot):
# Get a response to an input statement
speech = return_audio()
print chatbot.get_response(speech)
def return_audio():
r = sr.Recognizer()
with sr.Microphone() as source:
audio = r.listen(source)
try:
speech = r.recognize_google(audio)
try:
speech = str(speech)
print speech
return speech
except TypeError:
print "Error! Could not convert speech to string!"
except sr.UnknownValueError:
print "Error! Could not process that audio."
return "Error!"
except sr.RequestError as e:
print "Error! No internet connection to Google Sound Recognizer."
return "Error!"
setup()
但是，如果我将两者保存在两个不同的文件中，我会得到一个 AttributeError。我通过引发异常来避免程序崩溃，但这个异常意味着机器人实际上从未与用户交互。
下面是两个文件：
听
import speech_recognition as sr
from chatterbot import ChatBot
import Messanger_Alert as MA
import Weather
import Email_Alert
import Chat
import Run
def start():
bot = Chat.start()
MA_client = MA.login()
print "Hello Luke!"
print "I am ready for your command! :D"
while True:
speech = str(return_audio())
if not speech:
print "Error! Speech returned nonetype!"
continue
else:
try:
if any(word in speech for word in ("Jason", "jason")): #Old key words: "SysGen", "Sysgen", "System", "system" - will reimpliment if needed
if any(word in speech for word in ("Message", "message", "Messenger", "messenger", "Facebook", "facebook")):
if any(word in speech for word in ("Send", "send")):
MA.send_message(MA_client) #now getting an attribute error.
print "Ready for next command!"
elif any(word in speech for word in ("Search Friend", "search friend", "Seach friend", "search Friend", "friend", "Friend", "friends", "Friends")):
MA.friend_search(MA_client)
print "Ready for next command!"
elif any(word in speech for word in ("Check", "check")):
MA.check_message(MA_client)
print "Ready for next command!"
elif any(word in speech for word in ("Email", "email")):
if any(word in speech for word in ("Personal", "personal", "Home", "home")):
Email_Alert.login1()
print "Ready for next command!"
elif any(word in speech for word in ("School", "school", "Dorm", "dorm", "UCSD", "ucsd")):
Email_Alert.login2()
print "Ready for next command!"
elif any(word in speech for word in ("Weather", "weather", "Forecast", "forecast")):
Weather.decide()
elif any(word in speech for word in ("Goodnight", "goodnight", "Bye", "bye", "Goodbye", "goodbye")):
print "Goodnight Luke!"
exit()
else:
Chat.talk(bot, speech)
elif speech == "Error!":
return_audio()
else:
Chat.talk(bot, speech)
except sr.UnknownValueError:
print "Error! Could not process that audio."
except sr.RequestError as e:
print "Error! No internet connection to Google Sound Recognizer."
def return_audio():
r = sr.Recognizer()
with sr.Microphone() as source:
audio = r.listen(source)
try:
speech = r.recognize_google(audio)
try:
speech = str(speech)
print speech
return speech
except TypeError:
print "Error! Could not convert speech to string!"
except sr.UnknownValueError:
print "Error! Could not process that audio."
return "Error!"
except sr.RequestError as e:
print "Error! No internet connection to Google Sound Recognizer."
return "Error!"
聊天：
from chatterbot import ChatBot
from chatterbot.trainers import ListTrainer
import os.path
import Listen
def start():
file_list = ["Jason_logs.txt", "Sample1.txt"]
chatbot = ChatBot('Jason', trainer='chatterbot.trainers.ChatterBotCorpusTrainer')
for path in file_list:
if os.path.exists(path) == "True":
train_from_text(chatbot, path)
train_bot(chatbot)
def train_from_text(chatbot, path):
conversation = []
with open(path, 'r') as f:
while True:
line1 = f.readline()
line2 = f.readline()
if not line2:
break
else:
conversation.append(line1)
conversation.append(line2)
chatbot.set_trainer(ListTrainer)
chatbot.train(conversation)
def train_bot(chatbot):
# Train based on the english corpus
chatbot.train("chatterbot.corpus.english")
# Train based on english greetings corpus
chatbot.train("chatterbot.corpus.english.greetings")
# Train based on the english conversations corpus
chatbot.train("chatterbot.corpus.english.conversations")
def talk(chatbot, entry):
try:
response = chatbot.get_response(str(entry))
print response
with open("Jason_logs.txt", "a") as f:
f.write(entry)
f.write(response)
except TypeError:
print "Error! Could not convert speech to string!"
except AttributeError:
print "Error! Speech not accepted by Jason's Chatterbot libraries."
我不完全确定这是为什么，因为如果它们在同一个文件（第一段代码）中，它们都可以工作。但是，出于组织目的，我宁愿尽可能将这两个文件分开。
感谢您提供的任何想法和解决方案！
**编辑：**这是回溯错误（如果我在聊天中注释掉属性错误会出现）：
Traceback (most recent call last):
File "C:/Users/lukec/PycharmProjects/Sysgen_AI/Run_File.py", line 24, in <module>
startup()
File "C:/Users/lukec/PycharmProjects/Sysgen_AI/Run_File.py", line 13, in startup
voice()
File "C:/Users/lukec/PycharmProjects/Sysgen_AI/Run_File.py", line 19, in voice
call Jason
Listen.start()
File "C:\Users\lukec\PycharmProjects\Sysgen_AI\Listen.py", line 47, in start
Chat.talk(bot, speech)
File "C:\Users\lukec\PycharmProjects\Sysgen_AI\Chat.py", line 39, in talk
response = chatbot.get_response(str(entry))
AttributeError: 'NoneType' object has no attribute 'get_response'
Chat.start() 没有 return chatbot，所以隐含的 returned 值是 None。尝试将 return chatbot 添加到 start() 的末尾。您也可以考虑制作自己的聊天机器人包装器 class，而不是使用模块并传递聊天机器人实例。
我目前正在放学期间构建个人助理机器人作为挑战。我目前在整合 ChatterBot with a SpeechRecognition 时遇到问题。当我在同一个文件中调用两者时，我没有收到任何错误：
import speech_recognition as sr
from chatterbot import ChatBot
def setup():
chatbot = ChatBot(
'Ron Obvious',
trainer='chatterbot.trainers.ChatterBotCorpusTrainer'
)
# Train based on the english corpus
chatbot.train("chatterbot.corpus.english")
while True:
get_response(chatbot)
def get_response(chatbot):
# Get a response to an input statement
speech = return_audio()
print chatbot.get_response(speech)
def return_audio():
r = sr.Recognizer()
with sr.Microphone() as source:
audio = r.listen(source)
try:
speech = r.recognize_google(audio)
try:
speech = str(speech)
print speech
return speech
except TypeError:
print "Error! Could not convert speech to string!"
except sr.UnknownValueError:
print "Error! Could not process that audio."
return "Error!"
except sr.RequestError as e:
print "Error! No internet connection to Google Sound Recognizer."
return "Error!"
setup()
但是，如果我将两者保存在两个不同的文件中，我会得到一个 AttributeError。我通过引发异常来避免程序崩溃，但这个异常意味着机器人实际上从未与用户交互。
下面是两个文件： 听
import speech_recognition as sr
from chatterbot import ChatBot
import Messanger_Alert as MA
import Weather
import Email_Alert
import Chat
import Run
def start():
bot = Chat.start()
MA_client = MA.login()
print "Hello Luke!"
print "I am ready for your command! :D"
while True:
speech = str(return_audio())
if not speech:
print "Error! Speech returned nonetype!"
continue
else:
try:
if any(word in speech for word in ("Jason", "jason")): #Old key words: "SysGen", "Sysgen", "System", "system" - will reimpliment if needed
if any(word in speech for word in ("Message", "message", "Messenger", "messenger", "Facebook", "facebook")):
if any(word in speech for word in ("Send", "send")):
MA.send_message(MA_client) #now getting an attribute error.
print "Ready for next command!"
elif any(word in speech for word in ("Search Friend", "search friend", "Seach friend", "search Friend", "friend", "Friend", "friends", "Friends")):
MA.friend_search(MA_client)
print "Ready for next command!"
elif any(word in speech for word in ("Check", "check")):
MA.check_message(MA_client)
print "Ready for next command!"
elif any(word in speech for word in ("Email", "email")):
if any(word in speech for word in ("Personal", "personal", "Home", "home")):
Email_Alert.login1()
print "Ready for next command!"
elif any(word in speech for word in ("School", "school", "Dorm", "dorm", "UCSD", "ucsd")):
Email_Alert.login2()
print "Ready for next command!"
elif any(word in speech for word in ("Weather", "weather", "Forecast", "forecast")):
Weather.decide()
elif any(word in speech for word in ("Goodnight", "goodnight", "Bye", "bye", "Goodbye", "goodbye")):
print "Goodnight Luke!"
exit()
else:
Chat.talk(bot, speech)
elif speech == "Error!":
return_audio()
else:
Chat.talk(bot, speech)
except sr.UnknownValueError:
print "Error! Could not process that audio."
except sr.RequestError as e:
print "Error! No internet connection to Google Sound Recognizer."
def return_audio():
r = sr.Recognizer()
with sr.Microphone() as source:
audio = r.listen(source)
try:
speech = r.recognize_google(audio)
try:
speech = str(speech)
print speech
return speech
except TypeError:
print "Error! Could not convert speech to string!"
except sr.UnknownValueError:
print "Error! Could not process that audio."
return "Error!"
except sr.RequestError as e:
print "Error! No internet connection to Google Sound Recognizer."
return "Error!"
聊天：
from chatterbot import ChatBot
from chatterbot.trainers import ListTrainer
import os.path
import Listen
def start():
file_list = ["Jason_logs.txt", "Sample1.txt"]
chatbot = ChatBot('Jason', trainer='chatterbot.trainers.ChatterBotCorpusTrainer')
for path in file_list:
if os.path.exists(path) == "True":
train_from_text(chatbot, path)
train_bot(chatbot)
def train_from_text(chatbot, path):
conversation = []
with open(path, 'r') as f:
while True:
line1 = f.readline()
line2 = f.readline()
if not line2:
break
else:
conversation.append(line1)
conversation.append(line2)
chatbot.set_trainer(ListTrainer)
chatbot.train(conversation)
def train_bot(chatbot):
# Train based on the english corpus
chatbot.train("chatterbot.corpus.english")
# Train based on english greetings corpus
chatbot.train("chatterbot.corpus.english.greetings")
# Train based on the english conversations corpus
chatbot.train("chatterbot.corpus.english.conversations")
def talk(chatbot, entry):
try:
response = chatbot.get_response(str(entry))
print response
with open("Jason_logs.txt", "a") as f:
f.write(entry)
f.write(response)
except TypeError:
print "Error! Could not convert speech to string!"
except AttributeError:
print "Error! Speech not accepted by Jason's Chatterbot libraries."
我不完全确定这是为什么，因为如果它们在同一个文件（第一段代码）中，它们都可以工作。但是，出于组织目的，我宁愿尽可能将这两个文件分开。
感谢您提供的任何想法和解决方案！
**编辑：**这是回溯错误（如果我在聊天中注释掉属性错误会出现）：
Traceback (most recent call last):
File "C:/Users/lukec/PycharmProjects/Sysgen_AI/Run_File.py", line 24, in <module>
startup()
File "C:/Users/lukec/PycharmProjects/Sysgen_AI/Run_File.py", line 13, in startup
voice()
File "C:/Users/lukec/PycharmProjects/Sysgen_AI/Run_File.py", line 19, in voice
call Jason
Listen.start()
File "C:\Users\lukec\PycharmProjects\Sysgen_AI\Listen.py", line 47, in start
Chat.talk(bot, speech)
File "C:\Users\lukec\PycharmProjects\Sysgen_AI\Chat.py", line 39, in talk
response = chatbot.get_response(str(entry))
AttributeError: 'NoneType' object has no attribute 'get_response'
Chat.start() 没有 return chatbot，所以隐含的 returned 值是 None。尝试将 return chatbot 添加到 start() 的末尾。您也可以考虑制作自己的聊天机器人包装器 class，而不是使用模块并传递聊天机器人实例。