Building a Voice Transcription and Translation App with OpenAI Whisper and Streamlit | HackerNoon
Briefly

from Hackernoon3 years ago
This guide provides a step-by-step method for utilizing Streamlit's audio input widget paired with OpenAI's Whisper model to record, transcribe, and download voice recordings.
Hackernoonhttps://hackernoon.com/building-a-voice-transcription-and-translation-app-with-openai-whisper-and-streamlit-dev-community
Whisper offers human-level accuracy in English speech recognition, making it a powerful tool for transcription and translation when paired with Streamlit applications.
Hackernoonhttps://hackernoon.com/building-a-voice-transcription-and-translation-app-with-openai-whisper-and-streamlit-dev-community
Streamlit allows Python developers to create interactive data applications easily, and its integration with libraries like OpenAI enhances functionalities for audio processing.
Hackernoonhttps://hackernoon.com/building-a-voice-transcription-and-translation-app-with-openai-whisper-and-streamlit-dev-community
The setup process includes installing necessary libraries, creating an environment variable for API keys, and structuring the application to connect with OpenAI's client.
Hackernoonhttps://hackernoon.com/building-a-voice-transcription-and-translation-app-with-openai-whisper-and-streamlit-dev-community
Read at Hackernoon
#streamlit #openai #whisper #speech-recognition #transcription
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