Creating an API with FastAPI to Transcribe, Summarize, and Tag Audio Files (Using FasterWhisper and MistralAI on the CPU) - Source Code

Unlock the power of seamless audio processing with this complete source code package for an API that transcribes, summarizes, and tags audio files.

Built with the cutting-edge FastAPI framework, this API leverages the speed and accuracy of FasterWhisper for transcription and the advanced natural language processing capabilities of MistralAI for summarization and tagging.

Features:

- High-Performance API: Developed with FastAPI, ensuring high speed and asynchronous request handling for efficient API performance.

- State-of-the-Art Transcription: Utilizes FasterWhisper, an optimized version of OpenAI's Whisper model, to deliver precise and quick audio transcriptions.

- Advanced Summarization and Tagging: Implements MistralAI Instruct, providing detailed and contextually aware summaries and tags for transcribed text.

- Background Task Management: Efficiently handles long-running tasks using FastAPI’s background task capabilities, ensuring smooth user experience and reliability.

- Interactive Documentation: Includes automatically generated interactive API documentation with Swagger and ReDoc, making it easy to explore and test API endpoints.

What’s Included:

- Complete Source Code: Well-documented and clean code, including main.py, transcribe_wrapper.py, mistral_wrapper.py, and requirements.txt.

Ideal For:

- Developers looking to integrate advanced audio processing into their applications.

- Businesses needing reliable transcription and summarization services for audio content.

- Researchers and academics exploring audio analysis and natural language processing.

Get the source code today and start transforming how you process and analyze audio data!