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Prompt: multiple people are writing something with pens on a couple of paper. they are in a meeting room, discussing on a project they are in charge of.

Prompt: The scene is a tidy and well-organized work table. The table surface is made of light-colored wood with a smooth finish. On the table, there are several different templates of resumes spread out neatly, showcasing various layouts and designs.

Prompt: create a illustration of Private limited company registration

Prompt: car accident settlement documentation

$Prompt: import openai import textwrap # Set up OpenAI API credentials openai.api_key = "YOUR_API_KEY" # Define the text to generate the pen picture from text = """ As the director of Waterloo Hospital in Garforth, which offers low secure, open, and locked rehabilitation services for patients with mental health conditions, I am acutely aware of the challenges we face in filling vacant beds and managing patient flow effectively. One of the primary issues we encounter is the lengthy process of obtaining approval from the Integrated Care Board (ICB) panel for patient admissions. This delay can significantly impact our ability to provide timely care and utilize our resources optimally. [...] By presenting a comprehensive pen picture that highlights the complexities of these challenges, we can foster a deeper understanding among decision-makers and stakeholders, paving the way for more effective solutions and improved patient outcomes. """ # Define the prompt for GPT-3 prompt = f"Generate a pen picture based on the following text:\n\n{text}\n\nPen Picture:" # Call the GPT-3 API to generate the pen picture response = openai.Completion.create( engine="text-davinci-003", prompt=prompt, max_tokens=500, n=1, stop=None, temperature=0.7, ) # Extract the generated pen picture from the response pen_picture = response.choices[0].text.strip() # Print the generated pen picture print("Generated Pen Picture:") print("\n".join(textwrap.wrap(pen_picture, width=80)))$