An interactive interface that detects sentiment in comments about pop artists, based on audio recordings.
From concept to implemented solution
Create an interactive interface that detects sentiment in comments about pop artists, based on audio recordings.
We used Streamlit for the interactive interface, Whisper for audio transcription, and Machine Learning models for sentiment analysis.
We implemented audio recording in the browser and direct conversion to numpy array, avoiding temporary files.
We conducted tests to ensure model accuracy and a smooth user experience in the app.
The final app allows any user to record comments and receive instant sentiment analysis, with an intuitive interface.
Try the sentiment analysis app