- Location of Mobile Number Code -
import phonenumbers
from phonenumbers import timezone
from phonenumbers import geocoder
from phonenumbers import carrier
number = input("Enter the phone number with country code : ")
# Parsing String to the Phone number
phoneNumber = phonenumbers.parse(number)
# printing the timezone using the timezone module
timeZone = timezone.time_zones_for_number(phoneNumber)
print("timezone : "+str(timeZone))
# printing the geolocation of the given number using the geocoder module
geolocation = geocoder.description_for_number(phoneNumber,"en")
print("location : "+geolocation)
# printing the service provider name using the carrier module
service = carrier.name_for_number(phoneNumber,"en")
print("service provider : "+service)
import phonenumbers
from phonenumbers import timezone
from phonenumbers import geocoder
from phonenumbers import carrier
number = input("Enter the phone number with country code : ")
# Parsing String to the Phone number
phoneNumber = phonenumbers.parse(number)
# printing the timezone using the timezone module
timeZone = timezone.time_zones_for_number(phoneNumber)
print("timezone : "+str(timeZone))
# printing the geolocation of the given number using the geocoder module
geolocation = geocoder.description_for_number(phoneNumber,"en")
print("location : "+geolocation)
# printing the service provider name using the carrier module
service = carrier.name_for_number(phoneNumber,"en")
print("service provider : "+service)
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Mini-service: we take the text of the article (or extract it from
First, we load the text of the material:
Next, we ask
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Mini-service: we take the text of the article (or extract it from
PDF), send it to GPT and receive a set of test questions with answer options and a key.First, we load the text of the material:
# article_text — this is where we put the text of the article
with open("article.txt", "r", encoding="utf-8") as f:
article_text = f.read()
# for PDF, you can extract the text in advance with any library (PyPDF2, pdfplumber, etc.)
Next, we ask
GPT to generate a test:prompt = (
"You are an exam methodologist."
"Based on this text, create 15 test questions."
"Each question is in the format:\n"
"1) Question text\n"
"A. Option 1\n"
"B. Option 2\n"
"C. Option 3\n"
"D. Option 4\n"
"Correct answer: <letter>."
"Do not add explanations and comments, only questions, options, and correct answers."
)
response = client.chat.completions.create(
model="gpt-4o",
messages=[
{"role": "system", "content": prompt},
{"role": "user", "content": article_text}
])
print(response.choices[0].message.content.strip())
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