GenAI-Everyday

GenAI-Everyday is a collection of practical GenAI resources and examples designed to help you learn, experiment, and apply generative AI concepts in everyday tasks. The repository typically includes prompts, code examples, tutorials, and use-case discussions that cover multiple frameworks and APIs (e.g., OpenAI, Claude, Hugging Face, Stable Diffusion). To get started, clone the repository and explore the organized folders such as prompts, code-examples, tutorials, and use-cases. Use the provided Python code samples to interact with AI models, adapt prompts for your own tasks, and follow step-by-step guides to implement GenAI-powered workflows in writing, coding, brainstorming, and image generation. If you plan to run code, you may need to install dependencies (e.g., via a virtual environment) and set API keys in your environment to access the external AI services described in the examples.

Prerequisites:

• Git
• Python 3.8+ (for Python examples) or Node.js if using JavaScript examples
• Optional: virtual environment tools (venv, conda)

Install steps:

1. Clone the repository: git clone https://github.com/tushar2704/GENAI-EVERYDAY.git cd GENAI-EVERYDAY

2. Set up a Python environment (if using Python examples): python -m venv venv source venv/bin/activate # On Windows use venv\Scripts\activate

3. Install dependencies (if a requirements.txt exists): pip install -r requirements.txt

4. If you plan to run prompts or code snippets that rely on external AI services, ensure you have API keys set in your environment:

   • OpenAI: export OPENAI_API_KEY=your_key
   • Others (as needed per specific examples): set the corresponding env vars mentioned in the example readmes

5. Explore the repository structure (prompts, code-examples, tutorials, use-cases) and run the code samples that align with your interests.

Tips:

• The repo is a collection of GenAI resources; not all folders may have runnable scripts without external API keys.
• Keep API keys secure and do not commit them to version control.
• If a specific example requires a local model or GPU, check the README or individual tutorial for hardware/software requirements.
• Some prompts and scripts may assume usage of a virtual environment; adapt commands accordingly for your shell (bash, zsh, PowerShell).
• For environment configuration, consider using a .env file and a loader in your scripts to keep keys centralized and secure.