Audio Notes App
Date of creation: 2024-10-03
Project description:
The goal of the project was to create the first AI-powered application. To do this, I used two LLM models from OpenAI: whisper-1 (speech -> text) and text-embeddings-3-large (text -> embeddings).
Main functionalities:
- recording and listening to voice notes,
- transcription of voices into text using AI,
- ability to collect notes in the QDrant database,
- semantic data search, using the text processing algorithm on embeddings and finding similarities based on Cosinus Similarity.
Skills:
- Python,
- QDrant,
- OpenAI embeddings,
- OpenAI whisper-1,
- Streamlit,
- Dotenv,
- PyDub,
- io,
- md5.
Sample photos:
The application has been deployed on the Streamlit Community App and is available for public use.
Link to repository: https://github.com/kasjansmigielski/audio_notes_app
Link do app: https://audio-notes.streamlit.app/