How To: Building a Multi-Agent Workflow with CrewAI and Streamlit скачать в хорошем качестве

How To: Building a Multi-Agent Workflow with CrewAI and Streamlit

In this demo, learn how to build a powerful AI agent workflow using CrewAI and Streamlit. Follow a step-by-step guide to create a visual interface for designing, configuring, and running multiple agents with diverse tools and goals. Discover how to set up a project in PyCharm, install necessary Python libraries, and manage environment variables effectively. See how to integrate OpenAI's GPT for summarization, Google's search API, and create custom tools for your AI agents. Watch a comprehensive demo on constructing an AI agent workflow that can automate tasks like researching topics, summarizing information, and analyzing data, all from a single Streamlit app. Ideal for developers looking to deploy advanced multi-agent systems for complex tasks. 00:00 Introduction to AI Agent Workflow 00:25 Setting Up the Project in PyCharm 00:45 Installing Required Libraries 01:17 Creating Configuration Files 01:48 Adding API Keys 02:51 Building the Streamlit Application 03:10 Defining Agent Tools and Environment Variables 05:52 Setting Up the Streamlit UI 07:33 Configuring and Running AI Agents 10:10 Demonstration: Research and Summarization Task 13:18 Demonstration: Analyzing Revenue Figures 15:49 Deployment Options