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Langflow & Streamlit Tutorial

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Langflow & Streamlit Tutorial

Tutorial code and examples for building data applications and AI workflows using Langflow and Streamlit, with integration examples for multiple LLM providers and interactive UI components.

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Langflow & Streamlit Tutorial
About This Project

What This Software Does

This repository provides comprehensive tutorial code and examples for working with Langflow and Streamlit—two powerful Python-based frameworks for building interactive data applications and AI workflows. It covers the complete spectrum from basic UI components to advanced LLM integrations.
The tutorial demonstrates Streamlit’s built-in elements including checkboxes, sliders, radio buttons, sidebars, tables, progress indicators, maps, and text display functions. It also showcases integration with multiple AI model providers including OpenAI, Gemini, Groq, and DeepSeek, along with agent-based implementations and chatbot applications.
Developers, data scientists, and AI practitioners benefit from this educational resource. The hands-on approach with working examples makes it ideal for learning to combine these frameworks for building AI-powered applications with professional user interfaces and workflow orchestration.

CAPABILITIES

Key Features

Powerful features that make this solution stand out

Streamlit UI Components

Comprehensive examples of Streamlit's built-in elements including checkboxes, sliders, radio buttons, sidebars, tables, and progress indicators.

Multi-LLM Integration

Integration examples for multiple AI model providers including OpenAI, Gemini, Groq, and DeepSeek with practical implementations.

Data Visualization

Chart generation, dataframe handling, and interactive data visualization examples including Uber pickup data demos.

Interactive Chatbots

HTML chatbot interfaces and conversational AI applications demonstrating real-world implementation patterns.

Agent-Based Systems

Agent-based implementations and research-focused applications showing advanced AI workflow orchestration.

Jupyter Notebook Support

Interactive development environment with Jupyter notebooks for hands-on learning and experimentation.

TECH STACK

Built With Modern Technologies

Python Streamlit Langflow OpenAI Gemini Jupyter Notebook
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GitHub Repository

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