saving-willy-dev / src /utils /metadata_handler.py
rmm
feat: extended InputObservation to contain species/prediction info
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import streamlit as st
def metadata2md(image_hash:str, debug:bool=False) -> str:
"""Get metadata from cache and return as markdown-formatted key-value list
Args:
image_hash (str): The hash of the image to get metadata for
debug (bool, optional): Whether to print additional fields.
Returns:
str: Markdown-formatted key-value list of metadata
"""
markdown_str = "\n"
keys_to_print = ["author_email", "latitude", "longitude", "date", "time"]
if debug:
keys_to_print += ["iamge_md5", "selected_class", "top_prediction", "class_overriden"]
observation = st.session_state.public_observations.get(image_hash, {})
for key, value in observation.items():
if key in keys_to_print:
markdown_str += f"- **{key}**: {value}\n"
return markdown_str