import requests
from bs4 import BeautifulSoup

text = input(">>> ")
soup = BeautifulSoup(requests.get("https://arabic-text.com/", headers={'user-agent':'Mozilla/5.0'}).text,'html.parser')
r = requests.post("https://arabic-text.com/", headers={'content-type':'application/x-www-form-urlencoded','user-agent':'Mozilla/5.0','x-requested-with':'XMLHttpRequest'}, data={
    'ScriptManager1':'UpdatePanel1|Button1','__EVENTTARGET':'','__EVENTARGUMENT':'',
    '__VIEWSTATE':soup.find(id="__VIEWSTATE")['value'],
    '__VIEWSTATEGENERATOR':soup.find(id="__VIEWSTATEGENERATOR")['value'],
    '__EVENTVALIDATION':soup.find(id="__EVENTVALIDATION")['value'],
    'TextBox1':text,'__ASYNCPOST':'true','Button1':' >>>'
})
print(BeautifulSoup(r.text,'html.parser').find('textarea', id='TextBox2').text.strip())

Create a 1/7 scale intelligent figurine in the picture, I in a realistic style, in 2 real environment. The figurine is plattered on a computer desk. The figurine has a round ransparent acrylic base, with no text on the base.
The content on the screen is the Zbrush modeling process of

import requests, urllib.parse, json
from bs4 import BeautifulSoup

text = "احمد"
url = f"https://ar.flamingtext.com/Cool-Text-Generator?text={urllib.parse.quote(text)}"

try:
    r = requests.get(url)
    r.raise_for_status()
    soup = BeautifulSoup(r.text, 'html.parser')
    images = [urllib.parse.urljoin("https://ar.flamingtext.com", img['logo-src'])
              for img in soup.find_all('img', {'logo-src': True})]

    result = [{"image": img} for img in images]
    print(json.dumps(result, ensure_ascii=False, indent=4))

except requests.RequestException as e:
    print(json.dumps({"error": str(e)}, ensure_ascii=False))

models = ["x-ai/grok-4", "deepseek-v3.1", "chatgpt-4o-latest"]

import requests, uuid

message = "ما معنى الزعيم ?"
res = requests.post("https://qudata.com/ru/includes/sendmail/chat.php",
data={
'message': message,
'dialogs[0][role]': 'user',
'dialogs[0][content]': message,
'userid': uuid.uuid4().hex
}).text
print(res)

import requests

url = 'youtube.com/watch?v=T0ZDIFvvtJc&pp=0gcJCfwAo7VqN5tD'
res = requests.post("https://api.get-save.com/api/v1/vidinfo",
json={
"url": url
}).json()["sizes"]
print(res)

import requests

username = "mh1dr"
res = requests.get(
f"https://www.dolphinradar.com/api/ins/story/story/search?media_name={username}"
).json()
print(res)

Instagram Story and highlight download Api

import requests, time


def imagine(prompt):
res = requests.post(f"https://a1d.ai/api/nano-banana/generate",
json={
"prompt": prompt,
"enable_base64_output": False
}).json()
for i in range(10):
res1 = requests.get(
f"https://a1d.ai/api/nano-banana/status?id={res['data']['id']}"
).json()
if len(res1['data']['outputs']) == 1:
return res1['data']['outputs'][0]
time.sleep(5)


result = imagine("a cat running in the street")
print(result)

import requests, time

def edit_img(url1, prompt):
res = requests.post('https://a1d.ai/api/nano-banana/edit',
json={
"prompt": str(prompt),
"images": [url1],
"enable_base64_output": False
}).json()
print(res)
for i in range(10):
res1 = requests.get(
f"https://a1d.ai/api/nano-banana/status?id={res['data']['id']}"
).json()
print(res1)
if len(res1['data']['outputs']) == 1:
return str(res1['data']['outputs'][0])

time.sleep(5)

url_img = ''
prompt = ''
result = edit_img(prompt, url_img)
print(result)