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Second Angle - Decision Outcomes

Minimalist Streamlit app that shows two realistic possible outcomes for a decision question using a local LLM (Ollama).

Start Ollama

ollama serve

Pull a model

(for example) ollama pull mistral

Features

  • Clean, minimalist UI matching your design.
  • Left-hand question input and AI settings.
  • Top-right AI details, "Second Angle" header and two outcome cards.
  • Local LLM integration (Ollama).

Requirements

  • Python 3.9+
  • Ollama (local LLM server) - optional models: mistral, neural-chat, orca-mini (if available in your environment)
  • Recommended: virtualenv

Setup

  1. Create and activate a virtual environment (optional but recommended) -
python -m venv .venv
# Windows PowerShell
[Activate.ps1](http://_vscodecontentref_/4)
# or cmd
[activate.bat](http://_vscodecontentref_/5)
# macOS / Linux
source .venv/bin/activate


Run the app using - "streamlit run [app.py](http://_vscodecontentref_/7)"

About

Second Angle, presents two realistic scenarios ,one showing what may happen if you move forward, the other showing what may happen if you don’t , so you can weigh risks and benefits side‑by‑side.

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