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A newer version of the Streamlit SDK is available: 1.56.0

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metadata 
title: AI Memory Graph
emoji: 🧠
colorFrom: red
colorTo: red
sdk: streamlit
app_file: main.py
pinned: false
short_description: NLP & Graph-based Multi-User Chat Memory System

🧠 AI Memory Graph

Welcome to the live demo of the AI Memory Graph!

This application is an AI-powered memory system that extracts structured knowledge from multi-user group chats. It goes beyond simple chatbots by supporting group dialogues, extracting triplets (subject-predicate-object) using Transformer-based NLP models, and visualizing relationships dynamically.

🚀 How to Use It?

  1. Enter a Sender name and a Message in the left sidebar.
  2. Click ➕ Add Message to simulate a group chat environment.
  3. Click 🔍 Extract Triplets to run the SpaCy Transformer model and extract structural information.
  4. Finally, click 🌐 Show Knowledge Graph to render the interactive NetworkX memory graph!

🛠️ Tech Stack

  • Backend: Python, FastAPI logic (adapted for Streamlit)
  • NLP Model: SpaCy (en_core_web_trf)
  • Graph Visualization: NetworkX, PyVis
  • Frontend: Streamlit

Developed by Erdem Yavuz Hacisoftaoglu