![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)))](https://cdn.openart.ai/published/UfEbMfL9VkoLDermmFtA/S6DU9MZY_7YSm_1024.webp)
A
Ali Gopaul
Model: OpenArt SDXLSampler: DPM++ 2M SDE Karras
Prompt:
import openai
import textwrap
# Set up OpenAI API credentials
openai.api_key = "YOUR_API_KEY"
#...Show more
Scale: 7
Steps: 25
Seed: 2037227315
Width: 1024
Height: 1024
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