pip install unihiker

import time
from unihiker import GUI   #导入包
gui=GUI()  #实例化GUI类
def info_text_on_click():
    print("文字被点击")




info_text = gui.draw_text(x=120, y=320, text='你好',origin='bottom' ,onclick=info_text_on_click)
while True:
    #增加等待，防止程序退出和卡住
time.sleep(1)

from unihiker import GUI   #导入包
import time
gui=GUI()  #实例化GUI类
# 传入图片文件路径的方式
emj1 = gui.draw_emoji(x=0, y=0, w=100, h=100, emoji="Wink", duration=0.1, onclick=lambda:print("emojis clicked"))
emj2 = gui.draw_emoji(x=120, y=200, w=100, h=100, emoji="Smile", duration=1,origin="center" , onclick=lambda:print("emojis clicked"))
while True:
    time.sleep(1) #等待防止程序退出看不到效果

from unihiker import GUI   #导入包
gui=GUI()  #实例化GUI类
gui.draw_qr_code(x=120, y=150, w=100, text="https://unihiker.com", origin ="center",onclick=lambda:print("qr clicked"))
import time
while True:
    #增加等待，防止程序退出和卡住
    time.sleep(1)

from unihiker import GUI   #导入包
import time
gui=GUI()  #实例化GUI类
gui.wait_a_click()
# 传入图片文件路径的方式
emj1 = gui.draw_emoji(x=0, y=0, w=100, h=100, emoji="Wink", duration=0.1, onclick=lambda:print("emojis clicked"))
emj2 = gui.draw_emoji(x=120, y=200, w=100, h=100, emoji="Smile", duration=1,origin="center" , onclick=lambda:print("emojis clicked"))
while True:
    time.sleep(1) #等待防止程序退出看不到效果

from unihiker import Audio
import time
audio = Audio() #实例化音频
print("录音5秒")
audio.record('5s.wav', 5) #录音5秒，存到文件5s.wav中

audio.play('5s.wav')

#调用百度智能云，进行语音识别
def audio_discern(audio_path):
    audio_type = "wav"
    """ 百度云的ID，免费注册 """
    APP_ID = ' ' 
    API_KEY = '  ' 
    SECRET_KEY = '   ' 
    client = AipSpeech(APP_ID, API_KEY, SECRET_KEY)
    # 读取文件
    def get_file_content(filePath):
        with open(filePath, 'rb') as fp:
            return fp.read()
    # 识别本地文件
    text = client.asr(get_file_content(audio_path), audio_type, 16000)
    return text

#调用百度云，进行语音合成
def audio_speech(text):
    APP_ID = '  '
    API_KEY = '  '
    SECRET_KEY = '  '
    client = AipSpeech(APP_ID, API_KEY, SECRET_KEY)
    text=text
    result = client.synthesis(text, 'zh', 1, { 'vol': 10,})
    # 识别正确返回语音二进制 错误则返回dict 参照下面错误码
    if not isinstance(result, dict):   
        with open('auido.mp3', 'wb') as f:          
                f.write(result)

from unihiker import GUI
from unihiker import Audio
import time
from aip import AipSpeech             #导入百度AI
audio = Audio() #实例化音频
print("录音5秒")
audio.record('5s.wav', 5) #录音5秒，存到文件5s.wav中
print("停止录音")
#调用百度云，进行语音识别
def audio_discern(audio_path = "5s.wav",audio_type = "wav"):
    """ 百度云的ID，免费注册 """
    APP_ID = '' 
    API_KEY = '' 
    SECRET_KEY = '' 
    client = AipSpeech(APP_ID, API_KEY, SECRET_KEY)
    # 读取文件
    def get_file_content(filePath):
        with open(filePath, 'rb') as fp:
            return fp.read()
    # 识别本地文件
    text = client.asr(get_file_content(audio_path), audio_type, 16000)
    return text
result = audio_discern()
print(result['result'][0])
result_text = result['result'][0]
gui=GUI()
gui.draw_text(x=40, y=44, color="red", text="二维码生成器", font_size=20)
gui.draw_qr_code(x=130, y=200, w=150, text=result_text , origin ="center",onclick=lambda:print("qr clicked"))
while True:
  pass

#导入requests库
import requests
#导入json库
import json
from unihiker import GUI
from unihiker import Audio
import time
from aip import AipSpeech             #导入百度AI
audio = Audio() #实例化音频
print("录音5秒")
audio.record('5s.wav', 5) #录音5秒，存到文件5s.wav中
print("停止录音")
#调用百度云，进行语音识别
def audio_discern(audio_path = "5s.wav",audio_type = "wav"):
    """ 百度云的ID，免费注册 """
    APP_ID = '' 
    API_KEY = '' 
    SECRET_KEY = '' 
    client = AipSpeech(APP_ID, API_KEY, SECRET_KEY)
    # 读取文件
    def get_file_content(filePath):
        with open(filePath, 'rb') as fp:
            return fp.read()
    # 识别本地文件
    text = client.asr(get_file_content(audio_path), audio_type, 16000)
    return text
result = audio_discern()
print(result['result'][0])
result_text = result['result'][0]
#翻译函数
def translate(b):
    #将有道翻译API地址放入“url”变量中
    url = 'http://fanyi.youdao.com/translate?smartresult=dict&smartresult=rule'
    #获取要翻译的内容
    word = b
    #新建data字典，用来存放POST请求时需要携带的数据
    data = {}
    data['i'] = word
    data['doctype'] = 'json'
    data['from'] = 'AUTO'
    data['to'] = 'AUTO'
    data['client'] = 'fanyideskweb'
    #向有道翻译API发送网络请求，并将返回的数据放入变量“http_data”中
    http_data = requests.post(url=url,data=data).text
    #将http_data中的数据解析为json格式
    dict_data = json.loads(http_data)
    #提取字典中的有效数据
    result = dict_data["translateResult"][0][0]["tgt"]
    print(f'翻译结果：{result}')
    return(result)
result_text = result_text.replace("。", "")
result_f = translate(result_text)
gui=GUI()
gui.draw_text(x=80, y=44, color="red", text="翻译助手", font_size=20)
gui.draw_text(x=10, y=88, color=(255,105,180), text="原文：", font_size=20)
gui.draw_text(x=90, y=88, color=(0,191,255), text=result_text, font_size=18) 
gui.draw_text(x=10, y=150, color=(255,105,180), text="结果：", font_size=20)
gui.draw_text(x=90, y=150, color=(0,191,255), text=result_f, font_size=18)
while True:
  pass