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message_formatter_pil_to_b64

message_formatter_pil_to_b64(messages: list[dict[str, Any]]) -> list[dict[str, Any]]

Converts the PIL image URLs in the messages to base64 encoded data URIs.
This function iterates over a list of message dictionaries. For each message, if it contains a ‘content’ key with a list of items, it looks for items with an ‘image_url’ key. The function then converts the PIL image URL (pointed to by ‘image_url’) to a base64 encoded data URI.
Parameters:
messages (List[Dict]): A list of message dictionaries. Each dictionary may contain a ‘content’ key with a list of items, some of which might be image URLs.
Returns:
List[Dict]: A new list of message dictionaries with PIL image URLs in the ‘image_url’ key converted to base64 encoded data URIs.
Example Input:
```python [ {‘content’: [{‘type’: ‘text’, ‘text’: ‘You are a helpful AI assistant.’}], ‘role’: ‘system’}, {‘content’: [ {‘type’: ‘text’, ‘text’: “What’s the breed of this dog here?”}, {‘type’: ‘image_url’, ‘image_url’: {‘url’: a PIL.Image.Image}}, {‘type’: ‘text’, ‘text’: ’.’}], ‘role’: ‘user’} ]


Example Output: <br/>    ```python
[
    \{'content': [\{'type': 'text', 'text': 'You are a helpful AI assistant.'}], 'role': 'system'},
    \{'content': [
        \{'type': 'text', 'text': "What's the breed of this dog here?"},
        \{'type': 'image_url', 'image_url': \{'url': a B64 Image}},
        \{'type': 'text', 'text': '.'}],
    'role': 'user'}
]
Parameters:
NameDescription
messagesType: list[dict[str, typing.Any]]
Returns:
TypeDescription
list[dict[str, typing.Any]]List[Dict]: A new list of message dictionaries with PIL image URLs in the ‘image_url’ key converted to base64 encoded data URIs. Example Input: python [ \{'content': [\{'type': 'text', 'text': 'You are a helpful AI assistant.'}], 'role': 'system'}, \{'content': [ \{'type': 'text', 'text': "What's the breed of this dog here?"}, \{'type': 'image_url', 'image_url': \{'url': a PIL.Image.Image}}, \{'type': 'text', 'text': '.'}], 'role': 'user'} ] Example Output: python [ \{'content': [\{'type': 'text', 'text': 'You are a helpful AI assistant.'}], 'role': 'system'}, \{'content': [ \{'type': 'text', 'text': "What's the breed of this dog here?"}, \{'type': 'image_url', 'image_url': \{'url': a B64 Image}}, \{'type': 'text', 'text': '.'}], 'role': 'user'} ]

llava_formatternum_tokens_from_gpt_image