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Dev #18
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… length This commit introduces additional checks in the summarization process to handle cases where a transcript subset for a talk is empty. It adds a warning to inform the user if the transcript subset is empty due to incorrect event start times or agenda times. Furthermore, it ensures that the final result tree is not empty, and if it is, the process is stopped with an error message indicating that no talks were summarized. This helps in preventing the generation of empty summaries and guides the user to check their input data. Additionally, the commit includes a minor fix to align the indentation of arguments in the `summarise_transcript` function for improved code readability.
they get converted to numeric first
Add a new function `infer_agenda_from_transcript` and related prompt generation functions. This function automates the generation of an event agenda by analyzing a given transcript. It tries to identify and extract key segments from the transcript, which are then used to construct an agenda. The process can be informed by contextual information such as event description, vocabulary, diarization instructions, and an expected agenda to guide the LLM in generating a more accurate and context-aware agenda. Additionally, the function handles JSON parsing errors and adjusts the processing window size dynamically to ensure valid JSON output from the LLM. The agenda inference process is designed to be robust, with the ability to resume from temporary data if the process is interrupted. This enhancement streamlines the workflow for summarizing meetings and conferences by providing a structured overview of the event's proceedings.
Implement Agenda Inference from Transcripts and Enhance Summarization Workflow
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Merge changes implemented in #17