Update README.md

README.md

@@ -4,7 +4,7 @@ emoji: 💊
 colorFrom: yellow
 colorTo: red
 sdk: gradio
-sdk_version: 4.16.0
+sdk_version: 5.7.1
 app_file: drug_app.py
 pinned: false
 license: apache-2.0
@@ -17,5 +17,4 @@ license: apache-2.0
 ## Project Description
 In this project, we will be using scikit-learn pipelines to train our random forest algorithm and build a drug classifier. After training, we will automate the evaluation process using CML. Finally, we will build and deploy the web application to Hugging Face Hub. 
 
-From training to evaluation, the entire process will be automated using GitHub actions. All you have to do is push the code to your GitHub repository, and within two minutes, the model will be updated on Hugging Face with the updated app, model, and results.
-
+From training to evaluation, the entire process will be automated using GitHub actions. All you have to do is push the code to your GitHub repository, and within two minutes, the model will be updated on Hugging Face with the updated app, model, and results.