media-tagging-langchain 0.2.0

Langchain plugin for media-tagging library

Langchain plugin for media-tagging library

Makes it possible to use media_tagging library with Langchain supported multimodal LLMs.

Installation

pip install media-tagging-langchain

Usage

For a general purpose usage please refer to media_tagging usage documentation.

media-tagger ACTION MEDIA_PATHs \
  --media-type <MEDIA_TYPE> \
  --tagger langchain \
  --tagger.llm_class_name=<FULLY_QUALIFIED_CLASS_NAME> \
  --db-uri=<CONNECTION_STRING> \
  --writer <WRITER_TYPE> \
  --output <OUTPUT_FILE_NAME>

where:

• ACTION - either tag or describe.
• MEDIA_PATHs - names of files for tagging (can be urls) separated by spaces.
• <MEDIA_TYPE> - type of media (YOUTUBE_VIDEO, VIDEO, IMAGE).
• <FULLY_QUALIFIED_CLASS_NAME> - fully path to the LLM class (i.e. langchain_google_genai.ChatGoogleGenerativeAI). Corresponding library should be installed before calling the media-tagger.
• <CONNECTION_STRING> - Optional connection string to the database with tagging results (i.e. sqlite:///tagging.db). If this parameter is set make sure that DB exists.
• <WRITER_TYPE> - writer identifier (check available options at garf-io library).
• <OUTPUT_FILE_NAME> - name of the file to store results of tagging (by default tagging_results).