Prerequisites
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Alright, let's get the ball rolling! Let's kick things off by ensuring you have everything you need installed on your computer. And remember, persistence is crucial in this journey.
Nailing a new framework flawlessly from the get-go is as rare as acing a complex algorithm on the first try. And finding joy in debugging? That's like getting used to a 3 AM alarm—tough, but part of the process.
The magic happens when, after persistence. That's when you'll see the true power of your skills and the impact you can create. Plus, the frameworks we're diving into are designed for production-grade applications, meaning the potential for real-world impact is enormous and genuinely empowering.
Are you geared up? Let's embrace this challenge with enthusiasm. 😊 These steps aren't just for today; they're your stepping stones to the exciting world of open-source contributions. So, let's get to it!
Python 3.10 or 3.11 should be installed on your machine. If not, you can here.
Pip: Comes pre-installed with Python 3.4+. It is the standard package manager for Python. You can check if it's downloaded by typing the below command in your terminal/command prompt.
If Pip is not installed, you'll get an error. In that case, you need to download and install to manage project packages.
Git should be installed on your machine. If you've installed XCode (or its Command Line Tools), Git may already be installed. To find out, open a Terminal or Command Prompt, and enter git --version. If it's not installed, refer to and install it.
This key is required if you plan to use OpenAI models for embedding and generation.
If you are less confident with using open-source alternatives, using Open AI models is a good starting point. You can also go for other platforms such as Replicate, Eden AI, Cohere (feel free to Google – the list is endless).
So far, OpenAI used to offer $5 in free credits for new accounts – i.e. the ones with a new phone number and email ID. These free credits sufficed for building your project. However, it has stopped it now. But don't you worry we've got you covered in and via the latest hands-on session taken by Dhruv Joshi (IIT Delhi). Here's the link. It will be uploaded on soon.
To create a new OpenAI API Key:
The example ahead only supports Unix-like systems (such as Linux, macOS, and BSD).
The latter (using Docker) being a much stronger recommendation.
Don't worry, if you haven't used Docker ever. It's a popular tool with a lot of available documentation and we've added an introductory section for your convenience ahead.
Think of Docker as a shipping container for your app. Just as a shipping container can hold all sorts of goods (clothes, electronics, etc.) and can be transported anywhere in the world, Docker bundles your app and everything it needs to run into a 'container.' This makes it easy to share and run your app on any computer.
Similar to Docker, there is a tool called Conda which is showcased in one of the videos ahead. Conda lets you create separate environments to manage different sets of Python packages, ensuring your code runs the same way on any computer.
Conda and Docker both aim to solve the problem of "it works on my machine" by isolating your project and its dependencies.
Going forward, we will use text-embedding-ada-002 for generating the vector embeddings () and gpt-3.5-turbo for text generation.
to the OpenAI website.
Navigate to the page to generate your key.
But the good news is that you have an easy fix. If you are a Windows user, you can use or Dockerize the app to run as a container.
You can download Docker .
You can download Conda (optional for this bootcamp).
Now that we have the prerequisites, let's proceed.