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. |
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).