ChatGPT中API的试用
最近ChatGPT智能AI很火,可以写代码,DEBUG,写简历等等
上去查看了一下,是可以调用API的,本着学习的态度就是用这个款AI辅助我写了一个demo(本人原来对flask只懂一点点)
目录
先看效果:
0x01主页
主要功能是验证API,可以用默认的(考虑到多人使用,所以用自己的更好)
0x02图片API
主要功能就是自带的API,创建图片、变体图片、编辑图片
0x03上传图片
作为一个网站怎么能没有上传口 =。=
0x04调用的API自动保存
主要是第二部调用的api创建的图片等进行自动保存
0x05上传视频
上传视频,AI写的,真牛啊
0x06日志功能
AI还写了自动后台记录日志功能
0x07目录结构
0x08APP.py
@app.route('/')defindex():
key ={"api":-1}if k !="":
key["key"]=1else:
key["key"]=0
logger.info(f"[{request.remote_addr}]::[{request.method}]::{request.url}::{request.args}::<{key}>")return render_template('index.html', key=key)@app.route('/submit', methods=['POST'])defsubmit():
key ={"api":-1}if k !="":
key["key"]=1else:
key["key"]=0
logger.info(f"[{request.remote_addr}]::[{request.method}]::{request.url}::{request.args}::<{key}>")return render_template('index.html', key=key)@app.route('/image')defimage1():
key ={"key":0}
logger.info(f"[{request.remote_addr}]::[{request.method}]::{request.url}::{request.args}::<{key}>")return render_template('image.html',key=key,key2=key,key3=key)@app.route('/text')deftext():
key =-1
filenames = os.listdir("static\\text\\")# 打印文件名
items_gx =[]for filename in filenames:
items_gx.append(f"text/{filename}")
logger.info(f"[{request.remote_addr}]::[{request.method}]::{request.url}::{request.args}::<{key}>")return render_template('text.html',key=key,items_gx=items_gx)@app.route('/test_api',methods=['POST'])deftest_api():
key ={"key":1}
timestamp = time.time()try:
org = request.form['org']
api = request.form['api_key']
f =open("temp","w", encoding="utf-8")
f.write(api)
f.close()
openai.organization = org
openai.api_key_path ="temp"
api_dict[org]= api
try:
k = openai.Model.list()
key["api"]=1
f =open("share-api/org","a+", encoding="utf-8")
f.write(f"[{timestamp}]{org}\n")
f.close()
f =open("share-api/api","a+", encoding="utf-8")
f.write(f"[{timestamp}]{api}\n")
f.close()except:
key["api"]=0
openai.organization ="org-tuPuSBX5NRzKaE06CVvU2dHD"
openai.api_key_path ="api_key.txt"
logger.debug(f"[{request.remote_addr}]::[{request.method}]::{request.url}::{request.args}::<[{api_dict}>")return render_template('index.html', key=key)except Exception as e:
logger.debug(f"[{request.remote_addr}]::[{request.method}]::{request.url}::{request.args}::<[{e}>")return e
@app.route('/img_sub1',methods=['POST'])defimg_sub1():
key ={"key":1}
keyn ={"key":0}
items =[]try:
prompt = request.form['prompt']
size = request.form['size']
num =int(request.form['num'])ifint(num)>10:for i inrange(0,num,10):
sleep(31)
ret = openai.Image.create(prompt=prompt, n=10, size=size)for i in ret['data']:
items.append(i['url'])else:
ret = openai.Image.create(prompt=prompt, n=num, size=size)for i in ret['data']:
items.append(i['url'])for i in items:
md5_name = md5(i)
response = requests.get(i)# 打开图片
img = Image.open(BytesIO(response.content))
img.save(f"{save_cimg}{md5_name}.png", optimize=True, quality=50)# urllib.request.urlretrieve(i, f"{save_cimg}{md5_name}.png")
logger.info(f"[{request.remote_addr}]::[{request.method}]::{request.url}::{request.args}::<{key}>::<{keyn}>::<{items}>")return render_template('image.html', key=key,key2=keyn,key3=keyn, items=items)except openai.error.OpenAIError as e:
stat =f"[{e.http_status}]{e.error}"
logger.debug(f"[{request.remote_addr}]::[{request.method}]::{request.url}::{request.args}::<[{e.http_status}]{e.error}>")return stat
@app.route('/img_sub2',methods=['POST'])defimg_sub2():
key ={"key":1}
keyn ={"key":0}
items =[]
file_src1 =""
file_src2 =""try:
image = request.form['main']
mask = request.form['mask']if image==""or mask =="":
image = file_src1
mask = file_src2
prompt = request.form['prompt']
size = request.form['size']
num =int(request.form['num'])ifint(num)>10:for i inrange(0, num,10):
sleep(31)
ret = openai.Image.create_edit(image=image,mask=mask,prompt=prompt, n=int(num), size=size)for i in ret['data']:
items.append(i['url'])else:
ret = openai.Image.create_edit(image=image,mask=mask,prompt=prompt, n=int(num), size=size)for i in ret['data']:
items.append(i['url'])for i in items:
md5_name = md5(i)
response = requests.get(i)# 打开图片
img = Image.open(BytesIO(response.content))
img.save(f"{save_cimg}{md5_name}.png", optimize=True, quality=50)# urllib.request.urlretrieve(i, f"{save_cimg}{md5_name}.png")
logger.info(f"[{request.remote_addr}]::[{request.method}]::{request.url}::{request.args}::<{key}>::<{keyn}>::<{items}>")return render_template('image.html',key=keyn, key2=key,key3=keyn,items2=items)except openai.error.OpenAIError as e:
stat =f"[{e.http_status}]{e.error}"
logger.debug(f"[{request.remote_addr}]::[{request.method}]::{request.url}::{request.args}::<[{e.http_status}]{e.error}>")return stat
@app.route('/img_sub3',methods=['POST'])defimg_sub3():
key ={"key":1}
keyn ={"key":0}
items =[]
file_src3 =""try:
image = request.form['main']if image=="":
image = file_src3
size = request.form['size']
num =int(request.form['num'])ifint(num)>10:for i inrange(0, num,10):
sleep(31)
ret = openai.Image.create_variation(image=image, n=int(num), size=size)for i in ret['data']:
items.append(i['url'])else:
ret = openai.Image.create_variation(image=image, n=int(num), size=size)for i in ret['data']:
items.append(i['url'])for i in items:
md5_name = md5(i)
response = requests.get(i)# 打开图片
img = Image.open(BytesIO(response.content))
img.save(f"{save_cimg}{md5_name}.png", optimize=True, quality=50)# urllib.request.urlretrieve(i, f"{save_cimg}{md5_name}.png")
logger.info(f"[{request.remote_addr}]::[{request.method}]::{request.url}::{request.args}::<{key}>::<{keyn}>::<{items}>")return render_template('image.html',key=keyn, key2=keyn, key3=key, items3=items)except openai.error.OpenAIError as e:
stat =f"[{e.http_status}]{e.error}"
logger.debug(f"[{request.remote_addr}]::[{request.method}]::{request.url}::{request.args}::<[{e.http_status}]{e.error}>")return stat
@app.route('/upload_edit1', methods=['POST'])defupload1():# 获取客户端上传的图片
image = request.files['image']# 获取图片的名称
image_name = image.filename
dirok= mkdir_date("img\\")if dirok !=0:# 保存图片到本地
file_src1 =f"img\\{dirok}\\{image_name}"
image.save(file_src1)
logger.info(f"[{request.remote_addr}]::[{request.method}]::{request.url}::{request.args}::<{file_src1}>")return"上传成功!"return"上传失败!"@app.route('/upload_edit2', methods=['POST'])defupload2():# 获取客户端上传的图片
image = request.files['image']# 获取图片的名称
image_name = image.filename
dirok= mkdir_date("img\\")if dirok !=0:# 保存图片到本地
file_src2 =f"img\\{dirok}\\{image_name}"
image.save(file_src2)
logger.info(f"[{request.remote_addr}]::[{request.method}]::{request.url}::{request.args}::<{file_src2}>")return"上传成功!"return"上传失败!"@app.route('/upload_edit3', methods=['POST'])defupload3():# 获取客户端上传的图片
image = request.files['image']# 获取图片的名称
image_name = image.filename
dirok= mkdir_date("img\\")if dirok !=0:# 保存图片到本地
file_src3 =f"img\\{dirok}\\{image_name}"
image.save(file_src3)
logger.info(f"[{request.remote_addr}]::[{request.method}]::{request.url}::{request.args}::<{file_src3}>")return"上传成功!"return"上传失败!"@app.route('/gx_upload', methods=['POST'])defgx_upload():
key =1
filenames = os.listdir("static\\text\\")# 打印文件名
items_gx =[]for filename in filenames:
items_gx.append(f"text/{filename}")try:# 获取客户端上传的图片
image = request.files['image']# 获取图片的名称
image_name = image.filename
filename = md5(str(image_name))
file_src_gx =f"static\\text\\{filename}.{image_name.split('.')[-1]}"
image.save(file_src_gx)
logger.info(f"[{request.remote_addr}]::[{request.method}]::{request.url}::{request.args}::<{key}::{file_src_gx}>")return render_template('text.html', key=key, items_gx=items_gx)except Exception as e:print(e)return render_template('text.html',key=0,items_gx=items_gx)if __name__ =='__main__':
app.run(host="0.0.0.0", port=5001)
0x09Key.py
import os
from datetime import datetime
import hashlib
import openai
openai.organization ="org-xxxx"
openai.api_key_path ="api_key.txt"defmkdir_date(dir):
nows = datetime.now()
date_str = nows.strftime('%Y-%m-%d')try:# 创建文件夹
os.mkdir(dir+date_str)return date_str
except Exception as e:return date_str
defmd5(str1):
m = hashlib.md5()
m.update(str1.encode('utf-8'))returnstr(m.hexdigest())
0x0A结语
对于一个只会一点点代码水平的人来说,这个AI也是够了,解决能力大于某度,过于强大
源码整合包:传送门
Demo地址:传送门(请勿攻击)
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