Update README.md

README.md

@@ -109,9 +109,12 @@ To deploy DocVerifyRAG using Docker, follow these steps:
 
 Access the web interface and follow the prompts to upload documents, classify them, and verify metadata. The AI-powered anomaly detection system will automatically flag any discrepancies or errors in the document metadata, providing accurate and reliable document management solutions for hospitals.
 
-| title           | emoji                                      |  colorFrom          | colorTo                                     |  sdk          | sdk_version                                     |  app_file           | pinned                                  | 
-| -------------- | ---------------------------- |-------------- | ----------------------------------------- |-------------- | ----------------------------------------- |
-| DocVerifyRAG | 🐠 | Sandra Ashipala | pink | Sandra Ashipala | green | streamlit | 1.27.0 | app.py | false |
+### Hugging Face config
+
+| title        | emoji | colorFrom       | colorTo | sdk   | sdk_version | app_file | pinned |
+|--------------|-------|-----------------|---------|-------|-------------|----------|--------|
+| DocVerifyRAG | 🐠    | Sandra Ashipala | pink    | streamlit | 1.27.0 | app.py   | false  |
+
 
 
 ## Authors
@@ -124,18 +127,6 @@ Access the web interface and follow the prompts to upload documents, classify th
 | Abdul Qadeer | [GitHub](https://github.com/AbdulQadeer-55) |
 
 
----
-title: DocVerifyRAG
-emoji: 🐠
-colorFrom: pink
-colorTo: green
-sdk: streamlit
-sdk_version: 1.27.0
-app_file: app.py
-pinned: false
----
-
-
 ## License
 
 [![GitLicense](https://img.shields.io/badge/License-MIT-lime.svg)](https://github.com/eliawaefler/DocVerifyRAG/blob/main/LICENSE)