The Audio Transcription and Chatbot system uses Whisper OpenAI to transcribe audio files into text, which is then embedded using GPT-4All for subsequent query handling. The system allows users to upload audio files and ask questions, receiving answers generated from the transcribed data stored in a vector database.
Audio transcription in various formats, ensuring the accuracy of embeddings, and scaling the system for large datasets were major challenges in this project.
The use of Langchain for chaining the transcription and query process, coupled with a robust vector database for storing embeddings, helped overcome these challenges, ensuring accurate and efficient results.
The project provides a seamless process for transcribing audio and interacting with the system through a chatbot, facilitating efficient and accurate information retrieval.