In this project, you will write a program that fetches random cat and dog facts from the internet using APIs.

Your program must meet the following specifications:

• Display a menu with options: get a cat fact, get a dog fact, or quit
• When the user picks a fact type, send a request to the matching API and print the fact
• Loop back to the menu after showing a fact
• Handle the case where the request fails (for example, no internet connection) without crashing

For example:

=== Fact Menu ===
1. Cat fact
2. Dog fact
3. Quit

Choice: 1
Fetching a cat fact...
Cats have five toes on their front paws, but only four toes on their back paws.

Choice: 2
Fetching a dog fact...
The average dog can run at speeds of up to 19mph.

Choice: 3
Goodbye!

Working with APIs

This project uses the requests library, which is not part of Python’s standard library. Install it first:

pip install requests

You can send a request to a URL and get the response back as a dictionary using .json():

import requests

response = requests.get("https://catfact.ninja/fact")
data = response.json()
print(data["fact"])

Some APIs return more deeply nested data. The dog facts API returns a list of facts under "data", where each fact’s text is under "attributes":

import requests

response = requests.get("https://dogapi.dog/api/v2/facts")
data = response.json()
print(data["data"][0]["attributes"]["body"])

Example Code

import requests

def get_cat_fact():
    # TODO: send a request to https://catfact.ninja/fact and print the fact
    pass

def get_dog_fact():
    # TODO: send a request to https://dogapi.dog/api/v2/facts and print the fact
    pass

while True:
    print("\n=== Fact Menu ===")
    print("1. Cat fact")
    print("2. Dog fact")
    print("3. Quit")

    choice = input("\nChoice: ")

    if choice == "1":
        get_cat_fact()
    elif choice == "2":
        get_dog_fact()
    elif choice == "3":
        print("Goodbye!")
        break
    else:
        print("Invalid choice. Try again.")

When you’re happy with your program, upload the .py file to ThinkWave.