设想

挂在电脑上,自动回复相关信息,当时只做了一个大概。后面可以成为客服务系统,订单查询,图片回复,用这样的方式微信也不会封。当然也可以写游戏的操作软件。

首先注册百度文心一言

相关注册可以在网上查询,同时生成自己的key 以及secret 。
https://login.bce.baidu.com/?account=
其实里面都说相关代码的说明。进行二次开发。

代码

*- coding: UTF-8 -*-

import sys
import time
import pyautogui
import pyperclip
from paddleocr import PaddleOCR, draw_ocr
from PIL import Image
import re
import requests
import json

API_KEY = "<>"
SECRET_KEY = "<>"
URL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/aquilachat_7b?access_token="
language = 'ch'
img_path = 'screenshot_region.png'
result_img = 'screenshot_region_out.png'
ocr = PaddleOCR(use_angle_cls=True, use_gpu=False,lang=language)

def sendwx(target, msg, delay_time=2):
    """
    实现原理:1、通过打开微信的快捷键ctrl+alt+w,打开微信窗口
            2、通过搜索快捷键ctrl+f,打开搜索窗口
            3、通过ctrl+v快捷键实现输入功能
            4、通过ctrl+enter快捷键实现搜索or发送功能
    :param target: 发送目标
    :param msg: 需要发送的消息
    :param delay_time: 延迟时间 默认2秒
    :return:无返回值
    """
    try:
        # 清空剪切板并将目标写入到剪切板
        pyperclip.copy("")
        pyperclip.copy(target)
        # 打开微信窗口
        # pyautogui.hotkey("ctrl", "alt", "w")
        # time.sleep(delay_time)
        # 使用快捷键ctrl+f定位到微信搜索栏
        pyautogui.hotkey("ctrl", "f")
        time.sleep(delay_time)
        # 使用快捷键ctrl+v将目标粘贴到微信搜索栏,微信将自动搜索
        pyautogui.hotkey("ctrl", "v")
        time.sleep(delay_time)
        # 按回车键打开搜索出的目标
        pyautogui.press("enter")
        time.sleep(delay_time)
        # 清空剪切板并将未点检信息写入到剪切板
        pyperclip.copy("")

        pyperclip.copy(msg)
        # 使用快捷键ctrl+v将信息粘贴到微信输入框,按回车发送消息
        pyautogui.hotkey("ctrl", "v")
        time.sleep(delay_time)
        pyautogui.press("enter")
        # log
        im = pyautogui.screenshot()
        im.save('screenshot.png')
    except Exception as ex:
        print("发送微信消息出现异常: " + str(ex))
        sys.exit(0)


def cutscreen(name):
    pyperclip.copy(name)
    pyautogui.hotkey("ctrl", "f")
    time.sleep(50)
    pyautogui.hotkey("ctrl", "v")
    pyautogui.press("enter")
    time.sleep(50)
    # 清空剪切板并将未点检信息写入到剪切板
    pyperclip.copy("")
    screenshot = pyautogui.screenshot(region=(259, 64, 703, 637))
    # 如果你想将截图保存为文件
    screenshot.save('screenshot_region.png')


def ocrImg():
    # need to run only once to download and load model into memory

    result = ocr.ocr(img_path, cls=True)
    worlds = ""
    for line in result:
        worlds = worlds + str(line[-1][0])
    # 显示结果#
    image = Image.open(img_path).convert('RGB')
    boxes = [line[0] for line in result]
    txts = [line[1][0] for line in result]
    scores = [line[1][1] for line in result]
    im_show = draw_ocr(image, boxes, txts, scores)
    im_show = Image.fromarray(im_show)
    im_show.save(result_img)
    return worlds


def yiyananswer(question):
    url = URL + get_access_token()

    payload = json.dumps({
        "messages": [
            {
                "role": "user",
                "content": question
            },
        ]
    })
    headers = {
        'Content-Type': 'application/json'
    }
    response = requests.request("POST", url, headers=headers, data=payload)
    dict_obj = json.loads(response.text)
    return dict_obj['result']


def get_access_token():
    """
    使用 AK,SK 生成鉴权签名(Access Token)
    :return: access_token,或是None(如果错误)
    """
    url = "https://aip.baidubce.com/oauth/2.0/token"
    params = {"grant_type": "client_credentials", "client_id": API_KEY, "client_secret": SECRET_KEY}
    return str(requests.post(url, params=params).json().get("access_token"))


if __name__ == '__main__':
    names=["微信名1","微信名2"]
    while True:
        for name in names:
            cutscreen(name)
            #会 识别最后一个提问后的文字发送到API
            text = ocrImg(language, img_path, result_img)
            matches = re.findall(r'提问(.*?)(?=\n|$)', text, re.DOTALL)
            results = [match.split()[-1].strip() for match in matches]
            if results:
                last_poem = results[0]
                input_string = yiyananswer(last_poem)
                if input_string != "":
                    sendwx(name, input_string + "\n来源一言", 2)
                    time.sleep(50)
                else:
                    time.sleep(50)
        time.sleep(50)

在这里插入图片描述
下载代码 https://download.csdn.net/download/hzether/88601426

GitHub 加速计划 / pa / PaddleOCR
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Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
最近提交(Master分支:4 个月前 )
0697d248 2 天前
04c989b7 6 天前
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