Part 7/9:
Concatenating notes into coherent paragraphs
Adjusting model parameters such as temperature to enhance reliability
These refinements ensure high-quality, human-like summaries that are both informative and engaging.
Automating and Scaling the Workflow
The automation process includes:
Batch processing multiple transcripts
Checking for necessary directories and creating them if absent
Managing token limits to prevent truncation
Saving output JSONs with clear naming conventions
At each stage, progress logging and error handling ensure the system operates smoothly even over large datasets. For example, a script creates necessary folders if they don’t exist, and the pipeline handles multiline outputs, JSON serialization, and file saving seamlessly.