Yes, it is possible to build an app that uses GPT-3 to generate summaries of essays given their links. Here is a high-level overview of how you can approach this task:
1. First, you will need to sign up for an API key for GPT-3 and choose a plan that suits your needs.
2. Next, you will need to build a function that takes a link to an essay as input and downloads the essay's text. There are several Python libraries that can help you with this, such as `requests` or `urllib`.
3. Once you have the essay's text, you can use the GPT-3 API to generate a summary of the essay. You will need to send a request to the API with the essay text as input and specify that you want the summary to be in the form of a list of bullet points.
4. The GPT-3 API will return a summary in the form of a list of bullet points, which you can then display in your app.
Here is some sample code that demonstrates how you can use the GPT-3 API to generate a summary of an essay:
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`import openai # Replace YOUR_API_KEY with your actual API key openai.api_key = "YOUR_API_KEY" def generate_summary(essay_text): # Use the GPT-3 API to generate a summary of the essay response = openai.Completion.create( engine="text-davinci-002", prompt=f"Please summarize the following essay in 10 bullet points:\n{essay_text}\n", max_tokens=1024, temperature=0.5, top_p=1, frequency_penalty=0, presence_penalty=0, ) # Extract the summary from the response summary = response["choices"][0]["text"].strip() return summary`
You can then use the `generate_summary` function to get a summary of an essay given its text.
I hope this helps! Let me know if you have any questions.
