Generating Situational Prompts & Images

Before creating a multimodal AI app with a user interface, it’s essential to develop functions that generate a situational context where users can practice the English language. A situational prompt is a brief description of a scenario where the user can practice English. This prompt is generated using a function that provides an initial situation and a response. For example, if the situation is “ordering coffee in a cafe,” the initial response could be “Hello, what would you like to order?”

To enhance the immersive experience, it’s beneficial to generate a scenery image that matches the situation. For instance, in the coffee-ordering situation above, an image of a cafe can be generated. This visual context helps users engage more deeply with the practice scenario.

In addition to text and image generation, implementing speech recognition and synthesis functions is crucial. These functions let the app accept audio input from the user and provide audio responses, simulating a real conversational environment. This is particularly useful for practicing speaking and listening skills in English.

Key Components

• Text Generation: Creating functions to generate situational prompts and initial responses.
• Image Generation: Using models like DALL-E to generate images based on situational prompts.
• Speech Recognition: Implementing functions to transcribe audio input into text.
• Speech Synthesis: Creating functions to convert textual responses into speech.

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