Creating an application with Streamlit and AI agents
In this section, we will look at integrating the multi-agent system described in Chapter 9 into an app with Streamlit. Here, we will describe only the code parts we change; the structure remains the same. In the previous chapter, we built a script that allowed a travel program to be defined; in this chapter, the output is the same, but the system is encapsulated in an app. In other words, our app will run in the browser and can be used even by a user who does not know programming.
As a brief recap, the multi-model Travel Planning System is an AI-driven assistant that integrates multiple specialized models to generate personalized travel plans. It consists of four key agents:
WeatherAnalysisAgent: Predicts the best travel months using historical weather dataHotelRecommenderAgent: Uses a transformer model to find accommodations that match user preferencesItineraryPlannerAgent: Employs GPT-2 to generate detailed...
