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Intermediate Level
Audio Transcription App with Whisper
Use OpenAI's Whisper model (locally or via API) to transcribe an MP3 audio file into text.
The Problem
Use OpenAI's Whisper model (locally or via API) to transcribe an MP3 audio file into text.
Real-World Use Case
Use OpenAI's Whisper model (locally or via API) to transcribe an MP3 audio file into text.
Technology Stack
Python
Prerequisite
Audio files
Prerequisite
Architecture & Design
Folder Structure
transcribe/
├── transcribe.py
└── test.mp3Step-by-Step Implementation
1
Load audio file
Install openai python package.
python
# Whisper API callCode Explanation
Implementation step
2
Pass to Whisper API
client.audio.transcriptions.create(model='whisper-1', file=audio_file)
python
# Whisper API callCode Explanation
Implementation step
3
Save output to .txt
CLI script.
python
# Whisper API callCode Explanation
Implementation step
Common Errors
File too large
Use pydub to split the audio into 10-minute chunks.
Security & Performance
Transcribe a short English audio
Try a foreign language audio
Translate the audio to English while transcribing
Interview Questions
Q: Can I run Whisper locally?
A: Yes, you can install the open-source Whisper library to run it on your own GPU.