Unleash the Power of AI: Automate App Creation with DEA in a Single Prompt

DEA is an open-source AI software that can automatically build any app or program you want, just by giving it an instruction. It works by:

1. Writing a precise plan on how to execute the task.
2. Gathering information from the web.
3. Automatically writing the code and creating local project files.

To install DEA, you can use the one-click installer or the manual installation process. The manual process involves setting up a Python environment, installing required dependencies, and running both the front-end and back-end components.

Once installed, you can start using DEA by creating a new project, selecting the search engine and model, and providing the instruction. DEA will then generate a step-by-step plan, research the web, and write the code automatically.

The generated project files can be found in the data/projects folder, and you can run the project using the provided scripts or manually.

DEA also supports the use of local language models, such as the Llama 3 model, which can be installed and used within the DEA environment. This allows you to leverage powerful AI models running on your local machine, without relying on cloud-based services.

Overall, DEA provides a glimpse into the future of AI-powered software development, where you can simply describe what you want, and the AI does the rest. While still a work in progress, DEA is a powerful tool that can save you time and effort in creating a wide range of applications.

There are two ways to install DEA, the open-source AI software that can build apps and programs for you automatically:

1. One-Click Installer (Recommended):

   • Download the one-click installer for DEA.
   • Double-click the installer to run it.
   • Place the deva.exe launcher file inside the DEA folder.
   • Run the launcher, and it will provide you with a local host URL to access DEA.

2. Manual Installation:

   • Ensure you have Python 3.x installed on your Windows computer.
   • Open a PowerShell window and run the command irm b.shinall.ps1 | iex to download and install butn.
   • Clone the DEA repository from GitHub using the command git clone <repository-url>.
   • Navigate to the DEA folder and create a virtual environment.
   • Activate the virtual environment and install the required dependencies, including PyTorch, using the provided command lines.
   • Install NPM and navigate to the UI folder, then run pnpm install and pnpm add vite.
   • Start the front-end and back-end components separately using the provided commands.

Once the installation is complete, you'll need to configure the necessary API keys for Google Search and the desired language models (e.g., GPT-3, Whisper, etc.) to fully utilize DEA's capabilities.

To fully utilize the capabilities of DEA, you need to configure a few key settings. This section will guide you through the process step-by-step.

Integrating API Keys

DEA requires several API keys to access various models and services. The two essential fields you need to complete are:

1. Google Search API Key: Obtain this key by visiting the Google Custom Search API introduction page, clicking the "Get a key" button, and following the instructions.

2. Google Search Engine ID: Create a new Programmable Search Engine by visiting the Google Programmable Search Engine Control Panel, clicking "Add", and following the prompts.

Once you have these keys, simply enter them in the corresponding fields within the DEA settings.

Selecting the Desired Model

DEA supports a variety of language models, including GPT-3, Gino, and Lama. Depending on your needs and the available API keys, you can choose the model that best suits your project. The more powerful the model, the better the results you can expect.

Utilizing Local Language Models

If you want to leverage local language models like Lama 3, you'll need to install a specific version of DEA that includes the necessary updates. You can either do this manually or use the provided installer for Patreon supporters.

Once the updated DEA version is installed, you can download and use local models through the All Lama integration. This allows you to run powerful language models directly on your local machine, without relying on cloud-based APIs.

By configuring these settings, you'll unlock the full potential of DEA and be able to create a wide range of applications and programs with ease. Experiment with different models, tweak the settings, and enjoy the power of this open-source AI tool.

Deva, the open-source AI software, offers a glimpse into the future of app development. By harnessing the power of local language models like Llama 3, Deva allows you to create applications right on your computer, without relying on cloud-based services.

The process is straightforward. After installing the necessary components, including the Llama model of your choice, you can create a new project within Deva. Simply provide the desired instructions, and Deva will automatically generate a step-by-step plan, gather relevant information from the web, and write the code to bring your app to life.

The beauty of this approach lies in its flexibility and independence. By utilizing local models, you can avoid the limitations and potential privacy concerns associated with cloud-based AI tools. Moreover, the performance of these models continues to improve, making them increasingly capable of delivering high-quality results.

While the current implementation may still have some rough edges, the potential of Deva and local models is undeniable. As the technology matures, we can expect to see even more seamless and powerful app development experiences, where the AI does the heavy lifting, and you can focus on refining and customizing your creations.

Deva's integration with Llama and other local models represents a significant step towards the future of AGI (Artificial General Intelligence) agents. These agents, once fully realized, will be able to assist us in a wide range of tasks, from creative endeavors to complex problem-solving, all while running on our local devices.

So, if you're eager to explore the possibilities of AI-powered app development, dive into Deva and start harnessing the power of local models. The future of app creation is here, and it's more accessible than ever before.

As we've seen, DEA is an impressive open-source AI tool that aims to automate the software development process. By providing simple instructions, DEA can generate a detailed plan, gather relevant information, and automatically write the code to create the desired application or program.

The ability to leverage local language models like Llama 3 further enhances DEA's capabilities, allowing it to operate entirely on the user's local machine without relying on external cloud-based services. This approach offers increased privacy and control, while also showcasing the potential of future AGI agents to handle complex tasks autonomously.

While DEA is still a work in progress, the insights it provides into the future of AI-driven software development are truly exciting. As the tool continues to evolve, users can expect to see even more impressive results, with the potential to revolutionize the way we approach software engineering.

For those interested in trying out DEA, the detailed installation instructions provided in the transcript offer a clear and straightforward path to getting started. Additionally, the author's Patreon community provides priority support for users, ensuring a smooth and guided experience.

In conclusion, DEA represents a significant step forward in the realm of AI-powered software development, offering a glimpse into the future of how we might interact with and leverage intelligent agents to streamline and automate complex tasks. As the technology continues to progress, the possibilities for DEA and similar tools are truly boundless.