nateraw / codellama-7b-instruct

  • Public
  • 18 runs
  • L40S
Run with an API
Playground API Examples README Versions

  • Prediction

    nateraw/codellama-7b-instruct:6a950297
    Model
    ID
    2zrioqdbldtjvbcurdgkkdwih4
    Status
    Succeeded
    Source
    Web
    Hardware
    A40 (Large)
    Total duration
    Created

    Input

    top_k
    50
    top_p
    0.95
    message
    Write a python function that reads an html file from the internet and extracts the text content of all the h1 elements
    temperature
    0.8
    system_prompt
    Provide answers in Python
    max_new_tokens
    1024

    Output

    Here is an example of how you might do this in Python: ``` import requests from bs4 import BeautifulSoup def get_h1_text(url): response = requests.get(url) soup = BeautifulSoup(response.content, 'html.parser') h1_texts = [] for h1 in soup.find_all('h1'): h1_texts.append(h1.text.strip()) return h1_texts ``` This function takes in a URL as a string argument and returns a list of strings, where each string is the text content of an h1 element in the HTML file at that URL. You can use this function like this: ``` h1_texts = get_h1_text('https://www.example.com') print(h1_texts) ``` This will print out a list of all the h1 elements in the HTML file at the given URL, along with their text content. Note: In this example, we are using the `requests` and `BeautifulSoup` libraries to retrieve the HTML content of the URL and parse it with Beautiful Soup. You will need to install these libraries in your Python environment before running this code.
    Generated in
    Tweak itShareReport

Want to make some of these yourself?

Run this model