行空板语音AI绘画

 
#导入相关库
import requests
import json
import base64
import cv2
import numpy as np
from alive_progress import alive_bar
import time
 
while True:
    u="https://flagopen.baai.ac.cn/flagStudio/auth/getToken"
    param={"apikey":"aee3672220ec348b3b3dfaa7956a8282"}
    token_response=requests.get(url=u,params=param)
    token_json=json.loads(token_response.text)
    token=token_json['data']['token']
 
#调用api
    u = "https://flagopen.baai.ac.cn/flagStudio/v1/text2img"
    prompt=input("请输入你的创意:")
    param={"prompt":prompt,"steps":80,"style":"国画","width":512,"height":512}
    header={"User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.131 Safari/537.36",
        "Accept": "application/json",
        "Content-Type": "application/x-www-form-urlencoded; charset=UTF-8",
        "X-Requested-With": "XMLHttpRequest",
        "token":token}
    response=requests.post(url=u,json=param,headers=header)
    print('AI正在绘画中...')
 
    img_json=json.loads(response.text)
    img=img_json['data']
    img=base64.b64decode(img)
 
 
    imgstring = np.array(img).tobytes()
    imgstring = np.asarray(bytearray(imgstring), dtype="uint8")
    image = cv2.imdecode(imgstring, cv2.IMREAD_COLOR)
    mylist = range(0,30)
    with alive_bar(len(mylist)) as bar: 
        for i in mylist: 
            bar() 
            time.sleep(0.5)
    print('绘制完成')
    cv2.imshow('result',image)
    cv2.waitKey(0)
    cv2.destroyAllWindows()
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#  -*- coding: UTF-8 -*-

# MindPlus
# Python
from pinpong.extension.unihiker import *
import requests,json,base64,cv2,time
from pinpong.board import Board,Pin
from unihiker import Audio
from unihiker import GUI
import numpy as np
import xunfeiasr
import math
import cv2


u_gui=GUI()
Board().begin()
u_audio = Audio()
p_p21_in=Pin(Pin.P21, Pin.IN)
xunfeiasr.xunfeiasr_set(APPID="d41ee990",APISecret="NmFkZjdhM2U3ZmU5ZmNlN2FjOGJmYjY4",APIKey="d551eafc91a585a49beabe7ad3644ca4")
ShiBieNaRong = 0
BiaoShi = 0
AnNiuBiaoShi = 0
识别显示=u_gui.draw_text(text="行空板AI画",x=25,y=120,font_size=30, color="#0000FF")

while True:
    if (not (ShiBieNaRong == 0)):
        if (BiaoShi == 1):
            BiaoShi = 0
            buzzer.play(buzzer.DADADADUM,buzzer.Once)
    if (p_p21_in.read_digital()==True):
        if (AnNiuBiaoShi == 0):
            AnNiuBiaoShi = 1
            u_gui.clear()
            识别显示=u_gui.draw_text(text="正在录音……",x=15,y=120,font_size=30, color="#0000FF")
            ShiBieNaRong = 0
            u_audio.record("record.wav",4)
            BiaoShi = 1
            识别显示.config(text="正在识别……")
            ShiBieNaRong = xunfeiasr.xunfeiasr(r"record.wav")
            识别显示.config(text=ShiBieNaRong)
    else:
        if (AnNiuBiaoShi == 1):
            AnNiuBiaoShi = 0
            识别显示.config(text="AI绘画中...")
            u="https://flagopen.baai.ac.cn/flagStudio/auth/getToken"
            param={"apikey":"dc267e87afd46df5265544412f2ee40d"}
            token_response=requests.get(url=u,params=param)
            token_json=json.loads(token_response.text)
            token=token_json['data']['token']
            prompt = ShiBieNaRong
            u = "https://flagopen.baai.ac.cn/flagStudio/v1/text2img"
            param={"prompt":prompt,"steps":80,"style":"国画","width":512,"height":512}
            header={"User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.131 Safari/537.36","Accept": "application/json","Content-Type": "application/x-www-form-urlencoded; charset=UTF-8","X-Requested-With": "XMLHttpRequest","token":token}
            response=requests.post(url=u,json=param,headers=header)
            img_json=json.loads(response.text)
            img=img_json['data']
            img=base64.b64decode(img)
            imgstring = np.array(img).tobytes()
            imgstring = np.asarray(bytearray(imgstring), dtype="uint8")
            image = cv2.imdecode(imgstring, cv2.IMREAD_COLOR)
            进度条=u_gui.fill_rect(x=0,y=200,w=0,h=30,color="#FF0000")
            for my_variable in range(1, 11):
                进度条.config(w=(math.ceil((240 * (my_variable / 10)))))
                time.sleep(0.2)
            进度条.remove()
            image=cv2.resize(image,(240,320))
            cv2.imwrite("img.png", image)
            AI图=u_gui.draw_image(image="img.png",x=0,y=0)


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