add more precise documentation

README.md

@@ -14,20 +14,20 @@ license: apache-2.0
 
 ## Introduction
 
-Question/Answering on scientific documents using LLMs (OpenAI, Mistral, LLama2, etc..).
+Question/Answering on scientific documents using LLMs (OpenAI, Mistral, ~~LLama2,~~ etc..).
 This application is the frontend for testing the RAG (Retrieval Augmented Generation) on scientific documents, that we are developing at NIMS.
 Differently to most of the project, we focus on scientific articles and we are using [Grobid](https://github.com/kermitt2/grobid) for text extraction instead of the raw PDF2Text converter (which is comparable with most of other solutions) allow to extract only full-text.
 
 **Work in progress**
 
 **Demos**: 
- - (on HF spaces): https://lfoppiano-document-qa.hf.space/
- - (on streamlit.io): https://document-insights.streamlit.app/
+ - (on HuggingFace spaces): https://lfoppiano-document-qa.hf.space/
+ - (on the Streamlit cloud): https://document-insights.streamlit.app/
 
 ## Getting started
 
-- Select the model+embedding combination you want ot use (for LLama2 you must acknowledge their licence both on meta.com and on huggingface. See [here](https://huggingface.co/meta-llama/Llama-2-70b-chat-hf)). 
-- Enter your API Key (Open AI or Huggingface). 
+- Select the model+embedding combination you want ot use ~~(for LLama2 you must acknowledge their licence both on meta.com and on huggingface. See [here](https://huggingface.co/meta-llama/Llama-2-70b-chat-hf))~~(Llama2 was removed due to API limitations). 
+- Enter your API Key ([Open AI](https://platform.openai.com/account/api-keys) or [Huggingface](https://huggingface.co/docs/hub/security-tokens)). 
 - Upload a scientific article as PDF document. You will see a spinner or loading indicator while the processing is in progress. 
 - Once the spinner stops, you can proceed to ask your questions