updated readme

README.md

@@ -7,15 +7,24 @@ sdk: streamlit
 pinned: false
 python_version: 3.11.7
 ---
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 # 🔥 FLARE
 Fine-grained Learning for Aligment of spectra-molecule REpresentation
 
-###  Yan Zhou Chen, Soha Hassoun
-#### Department of Computer Science, Tufts University
-This repository provides the implementation of FLARE. Given a mass spectrum, FLARE can be used to rank a set of molecular candidates. Further, FLARE enables visualization of peak-to-node attribution.
+### Authors  
+**Yan Zhou Chen, Soha Hassoun**  
+Department of Computer Science, Tufts University  
 
+---
+
+FLARE is a framework for **ranking molecular candidates given a mass spectrum**. Beyond candidate ranking, FLARE provides **visualization of peak-to-node attribution**, enabling deeper insights into how spectral peaks correspond to molecular graph nodes.
+
+---
+
+## 🌐 Visualize Peak-to-Node Correspondence
+Explore our interactive [app](https://huggingface.co/spaces/HassounLab/FLARE) to visualize peak-to-node attributes in real time.
+
+---
 ## 🛠 Set up
 ### Clone repository
 ```
@@ -28,8 +37,8 @@ conda create -n flare python=3.11
 conda activate flare
 pip install -r requirements.txt
 ```
-
-## Usage
+---
+## 🚀 Usage
 Modify params.yaml as necessary
 
 ```
@@ -42,8 +51,13 @@ python train.py
 # test
 python test.py
 ```
+
+---
 ## 🙏 Acknowledgments
 - **Loss Objective**: [FILIP](https://arxiv.org/abs/2111.07783)
 - **Training Data**: [MassSpecGym](https://github.com/pluskal-lab/MassSpecGym)
 - **Subformula Assigner Code**: [MIST](https://github.com/samgoldman97/mist/tree/main_v2)
 
+---
+## 📧 Contact
+For questions, reach out to soha.hassoun@tufts.edu