13 projects using ChatGPT API, Whisper, Embeddings, and DALL-E with Python.
| # | Project | Description |
|---|---|---|
| 01 | Color Palette Generator | A visual tool to generate color palettes using OpenAI Completion API with Python. |
| 02 | GPT-4 Chatbot | A simple command line chatbot with GPT-4. |
| 03 | Automatic Code Reviewer | A simple command-line-based code reviewer. |
| 04 | GPT-4 AI Spotify Playlist Generator | A playlist generator for Spotify with OpenAI's GPT-4. |
| 05 | Movie Recommendation System | An embedding-powered movie recommendation algorithm using Nomic Atlas. |
| 06 | Q&A Bot | A dynamic Q&A Bot using GPT-4. |
| 07 | Sentiment Analysis Project | A tool to analyze the sentiment of Reddit comments using GPT-4. |
| 08 | Book Summarizer Project | A tool to summarize books of any size into a couple of paragraphs. |
| 09 | Choose Your Own Adventure App | A gamebook app with DALL-E, Stable Diffusion, and GPT-4. |
| 10 | Whisper Transcription Tool | A tool to convert spoken audio into accurate transcriptions and translations, using Whisper. |
| 11 | Auto-GPT Bots | Two AI assistants to scrape emails and teach code with Auto-GPT. |
| 12 | LangChain Bots | Two automated AI tools to generate emails and search Wikipedia with LangChain. |
| 13 | Multilingual RAG Search | A multilingual search tool based on Wikipedia data, utilizing the RAG approach to prompt GPT. |
Check out our collection of articles for those beginning their Generative AI journey. Find tips, tricks, and motivational content to keep you engaged and motivated throughout your learning process.
You need to create a virtual env and install the packages listed in requirements.txt. You can then run Jupyter Notebooks in VS Code.
Follow these steps: How to Work with Python Virtual Environments, Jupyter Notebooks and VS Code.
You need to create a .env file with your OPENAI_API_KEY.
Check the playground to understand the basics.
These projects are based on three courses:
- Mastering OpenAI Python APIs: Unleash the Power of GPT4 by Colt Steele (2023).
- The Ultimate Guide To ChatGPT & Midjourney by Colt Steele (2023).
- ChatGPT - The Complete Guide to ChatGPT & OpenAI APIs by Maximilian Schwarzmüller (2023).
We are also relying on three short courses:
- Vector Databases: from Embeddings to Applications by Sebastian Witalec (2023).
- LangChain for LLM Application Development by Harrison Chase and Andrew Ng (2023).
- LangChain: Chat with Your Data by Harrison Chase (2023).
If you find these projects helpful or interesting, please consider starring the repository. It's a simple gesture that helps to boost the visibility of the project and show appreciation for the effort put into creating it. Thank you!