Used openai whisper to built a service where audio can be converted to text, exposed it with streamlit. Consist a poc.ipynb under research folder , where you can find code for a quick poc. Further step would be to expose it with an api for further use. To run with streamlit , run command "streamlit run app.py" Here whisper base and whisper small models were used , you can use large for better output.
-
Notifications
You must be signed in to change notification settings - Fork 0
whovivkrajput/Transcription_Openai_Whisper
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Used openai whisper to built a service where audio can be converted to text, exposed it with streamlit.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published