tdd-generator

AI-Powered Tech Article Generators

This repository contains two different Streamlit applications for generating high-quality technology articles using AI language models powered by Ollama.

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1. Simple Ollama Article Generator (main.py)

A straightforward Streamlit app that generates a tech article based on a user topic, word count, and target audience using the Ollama LLaMA 3.2 model.

• Input: Topic, word count, and target audience.
• Output: A concise, engaging technology article tailored for the specified audience.
• Model: llama3.2:1b-instruct-fp16 via Ollama API.
• Usage: Best for quick article generation with minimal complexity.

Run

pip install streamlit ollama
streamlit run main.py

Multi-Agent Ollama Article Generator (main2.py)

An advanced Streamlit app leveraging the LangChain framework and Ollama's Mistral model to generate detailed tech articles via a two-step multi-agent process:

• Research Agent: Performs in-depth research on the topic.
• Writer Agent: Crafts an engaging article based on the research.

Features a progress bar and markdown output with an option to download the article.

• Model: mistral via Ollama API.
• Technology: LangChain prompts and chains for multi-step generation.

Run

pip install streamlit langchain langchain-community ollama
streamlit run main2.py