Rm newline from code snippet

Author: UPstartDeveloper

README.md

@@ -21,7 +21,6 @@ Alternatively, you can also make a virtual environment and run it using the `uvi
 $ python3 -m venv env  # creates a virtualenv
 $ source env/bin/activate  # now you're in the virtualenv
 $ uvicorn app.main:app --reload  # run the app
-
 ```
 
 ## The Data and the Model
@@ -43,4 +42,4 @@ In this project, we've worked with different tools like Tensorflow, Docker, Fast
 
 ## Credits and Resources
 1. This *Towards Data Science* [blog](https://towardsdatascience.com/a-step-by-step-tutorial-to-build-and-deploy-an-image-classification-api-95fa449f0f6a) by Youness Mansar will give you a little more detail on how you can build a deployment-driven deep learning project (using the Google Cloud Platform's App Engine).
-2. Another [blog](https://towardsdatascience.com/how-to-deploy-your-fastapi-app-on-heroku-for-free-8d4271a4ab9#beb1) by  Shinichi Okada in *Towards Data Science* will give more details how to deploy FastAPI applications (such as this repo!) on Heroku specifically.
+2. Another [blog](https://towardsdatascience.com/how-to-deploy-your-fastapi-app-on-heroku-for-free-8d4271a4ab9#beb1) by  Shinichi Okada in *Towards Data Science* will give more details how to deploy FastAPI applications (such as this repo!) on Heroku specifically.