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Prompt2App Workflow

Overview​

The flow of creating applications using Prompt2App can be summarized in the following sequential steps:

Step 1: Prompt input​

First, define the layout prompt to initiate the web application creation.

  • Describe the layout of the expected application, choose a random prompt, or view examples.
  • Utilize clear and concise language to convey the application's purpose and features.
  • Be specific in choosing prompts to improve the precision of the generated application code.

Step 2: Dataset input (optional)​

Secondly, you can opt to input your own dataset.

  • Uploading a dataset dynamically changes the web application data of the graphs and table based on the user-input CSV.

Learn more dataset input in GenAI AppStudio

Step 3: Document input (optional)​

The third step involves performing RAG on the uploaded documents.

  • Users can choose to upload a document, and GenAI AppStudio deploys the Retrieval Augmented Generation (RAG) technique on the provided document.

Learn more document input in GenAI AppStudio

Step 4: Trigger the Prompt2App pipeline​

The forth step involves triggering the Prompt2App pipeline to interpret prompts, process information, and generate the application code.

  • The generated source code serves as the foundation for running the web application. The generated application can be further refined and personalized using the built-in editing options within the application.
  • The capabilities include a Code Editor that allows you to make adjustments to the source code itself, a Wizard-based theme editor for adjusting the application’s visual elements, and an LLM-powered content generator to enhance the app’s content.
  • Prompt2App allows users to download the code and the application. This enables users to deploy and utilize the application in different environments according to their preferences.

Learn more about download and deployment in GenAI AppStudio

Step 5: Content generation and personalization​

Finally, explore how GenAI AppStudio integrates h2oGPT for content generation within Prompt2App.

  • After the component code is combined, the generated application is integrated with an LLM to facilitate content generation. While Prompt2App comes pre-configured with h2oGPT, users have the option to configure and utilize other LLM or GPT models according to their requirements.
  • The integration with LLM models offers the user the capability to generate images using text prompts.

Learn more about content generation and personalization in GenAI AppStudio

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