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| 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* |