Streamlit Tutorial: Building AI Automation for USA Stock Market Newsletters

- Authors
- Published on
- Published on
In this riveting video from the channel Alejandro AO - Software & Ai, we witness a team embarking on a quest using the search and contents tool to unearth the latest news about the USA stock market. The chief editor steps in, meticulously reviewing the task at hand. What unfolds next is a masterclass in creating a graphical user interface for crew AI automation. The front end design includes a sleek sidebar, inputs for automation, and a captivating real-time display of agent thinking. The tool of choice for this endeavor is none other than streamlit, a python framework known for its efficiency in building front-end applications with minimal code.
As the video progresses, viewers are treated to a snippet from an upcoming installment where the entire automation process, from start to finish, will be unveiled. It's worth noting that the team adheres to the recommended folder structure by CI, ensuring a seamless workflow. The automation itself is a marvel, generating newsletters based on a specified topic and personal message, courtesy of a team of diligent research agents scouring the web for the most relevant news. The end result? An HTML file containing a curated selection of news articles alongside a personalized message, all thanks to the innovative automation at play.
The focus then shifts to the creation of the graphical user interface, spearheaded by the newsletter gen UI class. Session state variables are meticulously set up to maintain crucial information throughout the application's runtime. A simple button triggers the newsletter generation logic, setting the stage for a dynamic interaction between agents for the newsletter creation process. The video culminates in a tantalizing preview of what promises to be a seamless blend of technology and creativity, showcasing the power of AI automation in simplifying complex tasks.

Image copyright Youtube

Image copyright Youtube

Image copyright Youtube

Image copyright Youtube
Watch Build a Web App (GUI) for your CrewAI Automation (Easy with Python) on Youtube
Viewer Reactions for Build a Web App (GUI) for your CrewAI Automation (Easy with Python)
Positive feedback on the video and appreciation for the tutorial
Request for a video on custom agent tool structure
Suggestion to improve UI code for better rendering
Request for a video on RAPTOR
Question about fixing a section at 26:42
Request for a video on automating statistical data analysis
Inquiry about deploying LLM applications
Question on combining CrewAI with Azure OpenAI
Request for guidance on turning the application into a backend API
Technical questions regarding specific issues with the code and execution
Related Articles

Mastering Multi-Agent Systems: AI Research Insights
Discover the power of multi-agent systems in AI research with insights from Anthropic's groundbreaking work. Learn about the benefits, architecture, and prompt engineering strategies for optimizing task performance. Elevate your understanding of token usage, tool calls, and model choice for superior results.

Mastering MCP Server Integration with Cursor: A Step-by-Step Guide
Learn how to create an MCP server and integrate it with Cursor on Alejandro AO - Software & Ai. Develop custom tools for Confluence, enabling precise project information retrieval. Follow the step-by-step guide for setting up and debugging the server securely.

Lama Extract: Automating Structured Data Extraction for PDFs and Images
Lama Extract, a tool by Lama Index, automates structured data extraction from unstructured files like PDFs and images, simplifying the process with defined schemas and a user-friendly interface. Advanced features include batch extraction, schema updates, and custom configurations for efficient data extraction.

Mastering AI Coding: Crafting Effective Prompts for Robust Applications
Learn how to prompt AI coding assistants effectively to create robust applications without technical debt. Understand language models, clear prompts, and examples for efficient coding with AI tools like Cursor and Trey. Master the art of crafting precise instructions for optimal results in coding tasks.