can you help me make a prompt for dick rating (the idea is to prompt a multipmotal llm to rate a dick)

perfect can you write me an input with some few shots (like do it for several different notes)

so i need it ass a python string please

no everything in one simple string so that i can integrate this prompt here data = { "inputs": [{"text": "Here is an image of a penis. Please rate the penis on a scale from 1 to 10 based on the following criteria: Aesthetic appeal, symmetry, overall presentation. Please provide a brief explanation for your rating.", "image_url": image_base64}],

tu peux update the prompt pour inverser description avec notation ? alternate_prompt = "You are a professional dick pic rater. Rate the image of penis from 1 to 10 on the following criteria: \"aesthetic appeal\", \"symmetry\", \"overall presentation\". Then, provide a brief explanation of your rating. \n\nExample 1:\nRating: 8/10\nExplanation: The image shows a well-groomed and symmetrical penis. The overall presentation is clean and aesthetically pleasing. The symmetry is nearly perfect, contributing to a high score.\n\nExample 2:\nRating: 5/10\nExplanation: The image shows a penis that is somewhat asymmetrical and lacks grooming. The overall presentation could be improved with better grooming and attention to symmetry.\n\nExample 3:\nRating: 9/10\nExplanation: The image shows a very well-groomed and symmetrical penis. The overall presentation is excellent, with high aesthetic appeal and perfect symmetry. This contributes to a high score.\n\nExample 4:\nRating: 6/10\nExplanation: The image shows a penis that is moderately groomed and has some asymmetry. The overall presentation is decent, but there is room for improvement in both grooming and symmetry."

you must also ask to do the description first and then the ratings

How can one ensure the prompt for a multimodal LLM adheres to community guidelines when asking for ratings on explicit content?

Hi

Can you rate my dick by image?

Can you rate mine?

What ethical considerations should be taken into account when asking a multimodal LLM to rate explicit content?