fj2

AI聊天机器人.py

@@ -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()

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())