Update README.md

README.md

@@ -1,8 +1,44 @@
-# TopicDig
+---
+title: TopicDig
+emoji: 🕵🏻
+colorFrom: gray
+colorTo: yellow
+sdk: streamlit
+app_file: app.py
+pinned: false
+---
 
-### TopicDig uses whole article summarization to create topical digests from current news headlines
+# Configuration
 
-#### [![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/mpolinsky/topicdig/main)
+`title`: _string_  
+Display title for the Space
+
+`emoji`: _string_  
+Space emoji (emoji-only character allowed)
+
+`colorFrom`: _string_  
+Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
+
+`colorTo`: _string_  
+Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
+
+`sdk`: _string_  
+Can be either `gradio` or `streamlit`
+
+`sdk_version` : _string_  
+Only applicable for `streamlit` SDK.  
+See [doc](https://hf.co/docs/hub/spaces) for more info on supported versions.
+
+`app_file`: _string_  
+Path to your main application file (which contains either `gradio` or `streamlit` Python code).  
+Path is relative to the root of the repository.
+
+`pinned`: _boolean_  
+Whether the Space stays on top of your list.
+
+TopicDig
+
+TopicDig uses whole article summarization to create topical digests from current news headlines
 
 The app displays topics, the user chooses up to three, and the app spins up a topical digest scraped from the headlines.
 This project makes heavy use of HuggingFace for NLP, and Gazpacho for web scraping.