Audio Transcription Summarization using ChatGPT in Python Part 1

Hello Everyone, In this video, I’ll walk you through the process of transcribing audio files to text using Python and the Google Speech Recognition API. This tutorial will show you how to turn spoken audio into readable text with ease. We'll then take it a step further by summarizing the transcribed text using OpenAI’s GPT API, creating a concise and useful summary for easy understanding. ### 🔍 Topics Covered: - Setting up Python for audio transcription - Working with the SpeechRecognition library to transcribe audio - Handling common errors in audio transcription - Using OpenAI’s GPT model for summarization - Complete walkthrough with code examples If you're looking to automate transcription and summarization, or if you're building an audio-processing pipeline, this video will give you all the tools you need. Don't forget to subscribe and hit the bell icon for more tech tutorials! 📌 Code Snippets: - `transcribe_audio()` function to convert audio files to text - Integrating Google Speech Recognition API in Python - Summarizing text using OpenAI GPT API 📂 Resources: - Python SpeechRecognition Documentation: https://pypi.org/project/SpeechRecognition/ - OpenAI API Documentation: https://platform.openai.com/docs/api-reference/introduction Notebook link: https://colab.research.google.com/drive/1i_qukRC7SP3lOG-nXnDEqf6Mu9cmQsU_?usp=sharing Don't forget to like, subscribe, and leave a comment if this video helped you. Let me know if you have any questions or requests for future videos. Happy coding! **Tags:** #AudioTranscription #PythonTutorial #SpeechRecognition #OpenAI #GPT4 SUBSCRIBE, SHARE, LIKE, and COMMENT :) 1-to-1 meeting: https://www.youtube.com/channel/UCDW48YM19iwgdkChPFGz36g/join OR https://cal.com/programming-cradle/30 Telegram: https://t.me/programming_cradle_family Discord: https://discord.gg/EFydz2hRbA Data Science Notes: It will be helpful for you, if you take printout of the notes and add points while watching the Applied AI Course videos. Data Science Notes: https://bit.ly/datasciencenotes or http://ow.ly/Tm7R50EedBh Thanks, Roshan Pandey You can also connect with me on: LinkedIn : https://linkedin.com/in/roshan-pandey GitHub: https://github.com/roshan-pandey Instagram: https://www.instagram.com/_peoples_channel_/ Stock Video Credits: www.pexels.com #programmingcradle #DataScience #MachineLearning