Update README.md

README.md

@@ -10,11 +10,16 @@ Download trained models and embedding file [here](https://1drv.ms/u/s!An_n1-LB8-
 
 Winner Top 6 Finalist of the ⚡#PoweredByTF 2.0 Challenge! https://devpost.com/software/nlp-doctor . Doc Product will be presented to the Tensorflow Engineering Team at Tensorflow Connect. Stay tuned for details. 
 
-## Quality medical information is valuable to everyone, but it's not always readily available. Doc Product aims to fix that.
+We wanted to use TensorFlow 2.0 to explore how well state-of-the-art natural language processing models like [BERT](https://arxiv.org/abs/1810.04805) and [GPT-2](https://openai.com/blog/better-language-models/) could respond to medical questions by retrieving and conditioning on relevant medical data, and this is the result.
+
+## DISCLAIMER
 
-Whether you've hit your head and are unsure if you need to see a doctor, caught a bad bug halfway up the Himalayas with no idea how to treat it, or made a pact with the ancient spaghetti gods to never accept healthcare from human doctors, *Doc Product* has you covered with up to date information and unique AI-generated advice to address your medical concerns.
+The purpose of this project is to explore the capabilities of deep learning language models for scientific encoding and retrieval IT SHOULD NOT TO BE USED FOR ACTIONABLE MEDICAL ADVICE.
+
+<p align="center">
+ <img src="https://i.ytimg.com/vi/nPemP-Q0Xn8/hqdefault.jpg">
+</p>
 
-We wanted to use TensorFlow 2.0 to explore how well state-of-the-art natural language processing models like [BERT](https://arxiv.org/abs/1810.04805) and [GPT-2](https://openai.com/blog/better-language-models/) could respond to medical questions by retrieving and conditioning on relevant medical data, and this is the result.
 
 ## How we built Doc Product
 
@@ -178,16 +183,6 @@ Explore applying the same method to other domains (ie history information retrie
 
 Explore how the recently released sciBert (from Allen AI) compares against Naver's bioBert. 
 
-## DISCLAIMER
-
-The recommendations of an open-source AI application is not a substitute for professional medical care. If your condition is worsening, please go to your primary care provider. If you are having an emergency, please go to the nearest hospital or call your country's emergency number.
-
-The purpose of this project is to explore the capabilities of deep learning language models IT SHOULD NOT TO BE USED FOR ACTIONABLE MEDICAL ADVICE.
-
-<p align="center">
- <img src="https://i.ytimg.com/vi/nPemP-Q0Xn8/hqdefault.jpg">
-</p>
-
 ## Thanks!
 
 We give our thanks to the TensorFlow team for providing the #PoweredByTF2.0 Challenge as a platform through which we could share our work with others, and a special thanks to Dr. Llion Jones, whose insights and guidance had an important impact on the direction of our project.