Update README.md

README.md

@@ -28,12 +28,10 @@ Example:
 ```
 Come up with a comment that will get upvoted by the community for a reddit post in r/memes. Provide the comment body with text and nothing else. The post has title: 'huge improvement.' and image:
 ```
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/63da89db9f2687298a0acbfe/6mF-vEajSnPPbwWSTbRIM.png)
 
-Note: For the model use the image only, I added the username to credit the person posting this and the title to clarify how a meme is structured in this forum
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/63da89db9f2687298a0acbfe/6mF-vEajSnPPbwWSTbRIM.png)
 
 For the post above, current model provided the output:
-
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/63da89db9f2687298a0acbfe/1Z6nzIYHRdqaPSaSKXqZ0.png)
 
 which was the most upvoted comment. If you ask me, I did not expect it to be that way, but predicting these things is not easy.
@@ -41,7 +39,6 @@ which was the most upvoted comment. If you ask me, I did not expect it to be tha
 There are more examples I tried that were "approved" by the community, however it's not always the case and it depends on a lot more things that are out of the commenter's control, such as the popularity of the post and timing. In general, for most posts I've tried the comments generated were reasonable for my expectations.
 
 Finally, at some point I noticed I got this cool badge for the r/memes subreddit, which does not mean much because it depends on both the quality of your comments but also on the quantity, if I'm not mistaken.
-
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/63da89db9f2687298a0acbfe/CvZ9LoQnQCS9VkjZ_gw95.png)
 
 ### How to Get Started with the Model