b385b7c1-55ac-4111-950a-17bf50851bcb
prompter
Tranlate this `curl` command to Python: `curl ifconfig.me`
f48c6f6b-b1cf-4e68-be14-c1a5fe33ec9c
b385b7c1-55ac-4111-950a-17bf50851bcb
assistant
```python
import requests

response = requests.get("http://ifconfig.me")
print(response.text)
```
cda9a732-63a3-4804-9789-0938ab7042ed
f48c6f6b-b1cf-4e68-be14-c1a5fe33ec9c
prompter
Can you write python code that does the same but does not use the requests library or anything else that is not part of the python standard library?
c846d4fc-d3a8-482d-b229-4ffa2db5c08a
cda9a732-63a3-4804-9789-0938ab7042ed
assistant
Here's an example of how you can achieve the same result using the http.client library from the Python Standard Library:

python

import http.client

conn = http.client.HTTPConnection("ifconfig.me")
conn.request("GET", "/")
response = conn.getresponse()
print(response.read().decode())


Here's an example that shows how to use the http.client library in the standard library to make a request to an API endpoint of a large language model, such as OpenAI's GPT-3 API. This code will retrieve text generated by the API.

python

import http.client
import json

conn = http.client.HTTPSConnection("api.openai.com")

payload = json.dumps({"prompt": "What is machine learning?"})

headers = { 'Content-Type': 'application/json', 'Authorization': 'Bearer <YOUR_API_KEY>' }

conn.request("POST", "/v1/engines/text-davinci-002/jobs", payload, headers)

res = conn.getresponse()
data = res.read()

text = json.loads(data.decode("utf-8"))['choices'][0]['text']
print(text)
Note that you would need to replace <YOUR_API_KEY> with a valid API key in order to run this code.