Update README.md

README.md

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 ---
 title: DenisCare
 emoji: 💬
+developed_by: Dynamo Denis Mbugua
 colorFrom: yellow
 colorTo: purple
 sdk: gradio
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 hf_oauth: true
 hf_oauth_scopes:
 - inference-api
-short_description: FIne tuned model from llama2 and trained to offer medical he
+short_description: Fine tuned model from llama2 trained to offer medical help
 ---
 
+## Description
+
+Developed and Trained by Denis Mbugua Wanjiru [dynamodenis254](https://github.com/dynamodenis)
+
+This model is fine tuned from llama2 model which has over 7 billion parameters. Since thats too big of information we fine tune it to only focus on
+medical search terms which I got the data set from **aboonaji/wiki_medical_terms_llam2_format**. It might be slow since I'm using free CPU for demo
+purpose and I don't really want to get a pro subscription for this project since its just for demo purpose. When I used Upgraded GPU the answer was in seconds
+. I also tested on Google Colab since it use it for training and development and it has a free T4 GPU.
+
+
+
 An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).