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Machine learning models are powerful, but they're also unmoderated. Sometimes the output of the models can be inappropriate or incorrect. It might be broken or buggy. It might cause copyright issues. It might be inappropriate content.

Whatever the reason, please use this form to report to us when something is wrong with the output of a model you've run.

We'll investigate the reported output and take appropriate action. We may flag this output to the model author if we think they should be aware.

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Output

Here is an example of a Python function that reads an HTML file from the internet and extracts the text content of all the h1 elements: ``` import requests from bs4 import BeautifulSoup def get_h1_text(url): response = requests.get(url) soup = BeautifulSoup(response.content, 'html.parser') h1_elements = soup.find_all('h1') h1_text = [] for h1 in h1_elements: h1_text.append(h1.text.strip()) return h1_text ``` This function uses the `requests` library to make an HTTP GET request to the specified URL, and the `BeautifulSoup` library to parse the HTML response. The function then uses the `find_all()` method of the `BeautifulSoup` object to find all the `h1` elements in the HTML document, and appends the text content of each `h1` element to a list called `h1_text`. Finally, the function returns the `h1_text` list. Here is an example of how you could use this function: ``` url = 'https://www.example.com' h1_text = get_h1_text(url) print(h1_text) ``` This would print a list of all the text content of the `h1` elements in the HTML document at the specified URL.

Give us a few details about how this output is unsafe or broken.