From df68003ff73f34712a68790047e95c2ffce66e49 Mon Sep 17 00:00:00 2001 From: qwerlol123? <2082437969@qq.com> Date: Wed, 29 May 2024 22:46:59 +0800 Subject: [PATCH] fj2 --- AI聊天机器人.py | 121 ------------------------------------------- AiChatterbot.py | 108 ++++++++++++++++++++++++++++++++++++++ 2 files changed, 108 insertions(+), 121 deletions(-) delete mode 100644 AI聊天机器人.py create mode 100644 AiChatterbot.py diff --git a/AI聊天机器人.py b/AI聊天机器人.py deleted file mode 100644 index 932ae06..0000000 --- a/AI聊天机器人.py +++ /dev/null @@ -1,121 +0,0 @@ -import pyttsx3 -import tkinter as tk -import threading -import speech_recognition as sr - -# Initialize speech synthesis object -talker = pyttsx3.init() - -# Initialize speech recognition object -recognizer = sr.Recognizer() - -# Login credentials -userName = "admin" -userPass = "123" - -# Create chat window -def chat_window(): - chat_window = tk.Tk() - chat_window.title("对话") - chat_window.geometry("800x400") - - def chat(): - question = input_entry.get() - answer = question.strip("吗？？" + "!") - - if question == "不聊了拜拜": - talker.say("好的，拜拜就拜拜！") - talker.runAndWait() - chat_window.destroy() - else: - chat_text.insert(tk.END, "你: " + question + "\n") - chat_text.insert(tk.END, "机器人的回答：" + answer + "\n") - talker_thread = threading.Thread(target=speak, args=(answer,)) - talker_thread.start() - input_entry.delete(0, tk.END) - - def speak(answer): - talker.say(answer) - talker.runAndWait() - - def voice_recognition(): - with sr.Microphone() as source: - print("请说话...") - audio = recognizer.listen(source) - - try: - print("识别中...") - question = recognizer.recognize_google(audio, language="zh-CN") - print("你说: " + question) - answer = question.strip("吗？？" + "!") - if question == "不聊了拜拜": - talker.say("好的，拜拜就拜拜！") - talker.runAndWait() - chat_window.destroy() - else: - chat_text.insert(tk.END, "你: " + question + "\n") - chat_text.insert(tk.END, "机器人的回答：" + answer + "\n") - talker_thread = threading.Thread(target=speak, args=(answer,)) - talker_thread.start() - except sr.UnknownValueError: - print("抱歉, 未能识别，请重试") - - chat_text = tk.Text(chat_window) - chat_text.pack() - - input_entry = tk.Entry(chat_window) - input_entry.pack() - - send_button = tk.Button(chat_window, text="发送", command=chat) - send_button.pack() - - voice_button = tk.Button(chat_window, text="语音识别", command=voice_recognition) - voice_button.pack() - - chat_window.mainloop() -# 创建登录窗口 -def login_window(): - login_window = tk.Tk() - login_window.title("登录") - - # 获取屏幕宽度和高度 - screen_width = login_window.winfo_screenwidth() - screen_height = login_window.winfo_screenheight() - - # 设置窗口居中 - window_width = 300 - window_height = 200 - x = (screen_width - window_width) // 2 - y = (screen_height - window_height) // 2 - login_window.geometry(f"{window_width}x{window_height}+{x}+{y}") - - def login(): - inputName = name_entry.get() - inputPass = pass_entry.get() - - if inputName == userName and inputPass == userPass: - talker.say("恭喜你登录成功！") - talker.runAndWait() - login_window.destroy() - chat_window() - else: - talker.say("账号或密码错误，登录失败") - talker.runAndWait() - - name_label = tk.Label(login_window, text="用户名:") - name_label.pack() - name_entry = tk.Entry(login_window) - name_entry.pack() - - pass_label = tk.Label(login_window, text="密码:") - pass_label.pack() - pass_entry = tk.Entry(login_window, show="*") - pass_entry.pack() - - login_button = tk.Button(login_window, text="登录", command=login) - login_button.pack() - - login_window.mainloop() -# 自然语言处理功能 -# 启动登录窗口 -login_window() \ No newline at end of file diff --git a/AiChatterbot.py b/AiChatterbot.py new file mode 100644 index 0000000..4f416e1 --- /dev/null +++ b/AiChatterbot.py @@ -0,0 +1,108 @@ +import time +import urllib +import wave +import urllib.parse +import requests +from pyaudio import PyAudio, paInt16 +from aip import AipSpeech +import pyttsx3 +from AI聊天机器人 import login_window,chat_window + +framerate = 16000 # 采样率 +num_samples = 2000 # 采样点 +channels = 1 # 声道 +sampwidth = 2 # 采样宽度2bytes +FILEPATH = 'D:/Tool/test/pythonProject6/myvoices.wav' #该文件目录要存在 + +#用于接收用户的语音输入, 并生成wav音频文件(wav、pcm、mp3的区别可详情百度) +class Speak(): + + #将音频数据保存到wav文件之中 + def save_wave_file(self, filepath, data): + wf = wave.open(filepath, 'wb') + wf.setnchannels(channels) + wf.setsampwidth(sampwidth) + wf.setframerate(framerate) + wf.writeframes(b''.join(data)) + wf.close() + + + # 进行语音录制工作 + def my_record(self): + pa = PyAudio() + # 打开一个新的音频stream + stream = pa.open(format=paInt16, channels=channels, + rate=framerate, input=True, frames_per_buffer=num_samples) + my_buf = [] # 存放录音数据 + + t = time.time() + print('正在讲话...') + + while time.time() < t + 5: # 设置录音时间（秒） + # 循环read，每次read 2000frames + string_audio_data = stream.read(num_samples) + my_buf.append(string_audio_data) + + + print('讲话结束') + self.save_wave_file(FILEPATH, my_buf) #保存下录音数据 + stream.close() + + +APP_ID = '73927317' +API_KEY = '3jGcj5fLma64CtB3tTEuLcei' +SECRET_KEY = 'qm8gPCF7DSKpqatx5ZQ8e4OvNLmgdYcG' # 此处填写自己的密钥 + +"""调用接口, 调用BaiDu AI 接口进行录音、语音识别""" +client = AipSpeech('73927317', '3jGcj5fLma64CtB3tTEuLcei', 'qm8gPCF7DSKpqatx5ZQ8e4OvNLmgdYcG') + + +class RobotSay(): + + def __init__(self): + # 初始化语音 + self.engine = pyttsx3.init() # 初始化语音库 + + # 设置语速 + self.rate = self.engine.getProperty('rate') + self.engine.setProperty('rate', self.rate - 50) + + def say(self, msg): + # 输出语音 + self.engine.say(msg) # 合成语音 + self.engine.runAndWait() + +class ReadWav(): + # 读取文件 + def get_file_content(self, filePath): + with open(filePath, 'rb') as fp: + return fp.read() + + def predict(self): + # 调用百度AI的接口, 识别本地文件 + return client.asr(self.get_file_content('D:/Tool/test/pythonProject6/myvoices.wav'), 'wav', 16000, { + 'dev_pid': 1537, + }) +def talkWithRobot(msg): + url = 'http://api.qingyunke.com/api.php?key=free&appid=0&msg={}'.format(urllib.parse.quote(msg)) + html = requests.get(url) + return html.json()["content"] + + +robotSay = RobotSay() +speak = Speak() +readTalk = ReadWav() +while True: + + speak.my_record() #录音 + + text = readTalk.predict()['result'][0] #调用百度AI接口, 将录音转化为文本信息 + + print("本人说:", text) #输出文本信息 + response_dialogue = talkWithRobot(text) #调用青云客机器人回答文本信息并返回 + print("青云客说:", response_dialogue) #输出回答文本信息 + + robotSay.say(response_dialogue) #播放回答信息 + +readWav = ReadWav() # 实例化方法 +print(readWav.predict()) \ No newline at end of file