Update README.md

README.md

@@ -53,6 +53,9 @@ The dataset was obtained from Kaggle and contains various columns with car detai
 Afterwards, the models underwent testing, model registry and deployment using **MLflow**, **Prefect** and **Flask**. Monitoring of the models was established through **Grafana** and **Adminer** Database. Subsequently, a project infrastructure was set up in **Terraform**, utilizing **AWS** modules such as Kinesis Streams (Producer & Consumer), Lambda (Serving API), S3 Bucket (Model artifacts), and ECR (Image Registry).
 
 ![Deployment Prefect UI](https://github.com/benitomartin/mlops-car-prices/assets/116911431/90e7f32c-25ce-4be7-bf38-ba266ca68fb2)
+<p>
+    <img src="/model/results_printouts/Deployment Prefect UI.png"/>
+</p>
 ![manual_deploy_cloudwatch2](https://github.com/benitomartin/mlops-car-prices/assets/116911431/78ce8263-dd8a-4b09-b092-620b3988de99)
 
 Finally, to streamline the development process, a fully automated **CI/CD** pipeline was created using GitHub Actions.