Audio Transcription Summarization using ChatGPT in Python Part 2

Hello Everyone, In this video, I'll walk you through how to build a powerful Streamlit app that transcribes audio files and generates summaries using OpenAI's GPT-4 model. This app allows you to upload audio files (in WAV or MP3 format), transcribe them using Google's Speech Recognition API, and then create a concise summary with the help of GPT-4. Whether you're looking to automate transcription tasks or just create an app to summarize audio content, this tutorial covers it all. What You’ll Learn: • Integrating OpenAI GPT-4 API for generating summaries from transcribed text. • Using Streamlit to create an interactive web app. • Audio transcription using the SpeechRecognition library and Google’s speech-to-text API. • Handling file uploads in Streamlit and saving audio files locally. -• Summarizing audio content by combining transcription and AI models. Key Components: • Streamlit for building the app interface • OpenAI API for generating summaries • SpeechRecognition library to convert audio to text • Python & APIs to automate transcription and summarization processes Prerequisites: • Basic knowledge of Python and web development • Access to OpenAI API (make sure you have your API key ready!) • Python libraries: `streamlit`, `speech_recognition`, `openai` Overview: 1. Audio File Upload: The app allows users to upload their audio files (WAV or MP3 format). 2. Audio Transcription: Once the audio is uploaded, it's transcribed using Google's Speech Recognition API. 3. Text Summarization: After transcription, the text is passed to OpenAI GPT-4 to generate a summarized version of the transcript. 4. Results Display: The transcribed text and the AI-generated summary are shown on the app’s interface. 📌 Key Tools/Technologies Used: - Streamlit: https://streamlit.io/ - SpeechRecognition: https://pypi.org/project/SpeechRecognition/ - OpenAI GPT-4 API: https://beta.openai.com/ - Python If you found this tutorial helpful, don't forget to like, comment, and subscribe for more content like this. Let me know if you have any questions or suggestions for future tutorials! --- 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 #streamlit #openai #gpt4 #audiotranscription #summarization #python #developer #tutorial #speechrecognition #streamlitapp #ai #automation #openaiapi