SarahKhambatta/SHL-Sarah-Project ? reverse-engineered prompt

Build me a Python app for scoring grammar from voice samples.

I have a Kaggle style dataset with training and test CSV files, and audio files that are about 45 to 60 seconds long. I want the program to take each audio file, turn it into text, check the transcript for grammar mistakes, and give it a continuous grammar score from 0 to 5. Please also include a simple way to show the transcript, the score, and a few useful correction suggestions for each file, and save everything into a CSV output.

Use the files already in this repo, and make it work end to end from the sample data. If you need to look up the current best docs for any speech to text or grammar checking library, go ahead. I’d also like the notebook to show the main steps clearly so I can understand how the scoring is being done and compare results on the training data.