TheraLogic is a modern, AI-powered journaling companion and chatbot. It helps you reflect, chat, and grow—combining empathetic support with logical answers, all in a beautiful, privacy-first web app.
- AI-Powered Journaling: Chat with an empathetic AI and save conversations as journal entries.
- Emotional & Logical Routing: Messages are classified and routed to either a therapist-style or logical assistant.
- Modern, Responsive UI: Beautiful landing page, onboarding tour, chat, and journal dashboard. Fully mobile-friendly.
- Onboarding Tour: New users are guided with a step-by-step modal tour (shows only once per device).
- Local-First Privacy: All journal data is stored in your browser (localStorage). Nothing leaves your device.
- Streaks & Progress: Visualize your journaling streak and progress over time.
- Frontend: React
- Backend: Flask, LangChain, LangGraph, Ollama (local LLM)
- LLM: Local model via Ollama (e.g., Llama 3)
- Install Python dependencies:
pip install -r requirements.txt
- Start the backend server:
python backend.py
- The backend runs on
http://localhost:5050by default. - Make sure Ollama is running locally with your chosen model (e.g.,
ollama run llama3)
- The backend runs on
- Install dependencies:
cd theralogic-frontend npm install - Start the React app:
npm start
- The frontend runs on
http://localhost:3000
- The frontend runs on
-
Message Flow:
- User sends a message in chat.
- Backend classifies it as "emotional" or "logical" using an LLM.
- The message is routed to either a therapist-style or logical agent.
- The response is returned and can be saved as a journal entry.
-
Journaling:
- All journal entries are stored in your browser (localStorage).
- The Journal page lets you view, edit, and search your entries.
-
Onboarding:
- New users see a onboarding tour on first visit.
Ready to reflect, chat, and grow? 🚀