ChatGPTとWhisperではじめるPythonローコード開発入門

Master Python for Automated Meeting Transcription & Voice Recognition

Unlock the power of Python to streamline your workflow with automated meeting transcription and advanced voice recognition! This course is designed for intermediate to advanced Python users and focuses on practical application with minimal code.

Automate Meeting Minutes with Python & Colab

Learn to automatically generate meeting minutes from Zoom, Teams, or other online meeting recordings. We'll leverage Python, modules, and APIs (with very little code!) within Google Colab to achieve this. This is a fantastic way to save time and improve efficiency.

• Automated Transcription: Convert audio files from online meetings into text.
• Meeting Summary Generation: Extract key takeaways from meeting transcripts using ChatGPT (GPT-3.5/GPT-4). We'll explore effective prompt engineering for optimal results.
• Easy Download: Download the summarized meeting notes for easy sharing and reference.

Build a Local Voice Recognition System with Flask & Whisper

Take your skills to the next level by building a robust, offline voice recognition system using Python Flask. This system runs entirely on your local machine – no internet connection required!

• High-Accuracy Speech-to-Text: Utilize the powerful OpenAI Whisper model as your backend for highly accurate speech recognition.
• Flask Integration: Develop a user-friendly interface with a minimal Flask application.
• Customization: Customize the look and feel with Stable Diffusion for a unique favicon and Bootstrap for responsive design.
• Ajax Implementation: Enhance user experience with dynamic updates using Ajax.

Course Structure:

The course is structured to guide you through each step:

• Uploading video/audio files.
• Converting files to audio.
• Extracting text from audio (speech recognition).
• Extracting key points from transcribed text (automatic summarization).
• Downloading the extracted key points.
• Setting up a Flask environment.
• Building a minimal Flask application.
• Integrating Whisper_MIC.
• File integration.
• Finalizing your project.

This course provides a comprehensive, hands-on approach to automating audio processing tasks with Python, empowering you to boost productivity and gain valuable insights from your audio data.