readme

README.md

@@ -18,7 +18,7 @@ Stock Trader is an interactive web application built with Streamlit that allows
 
 
 ## Prompt and LLM-Generated Code
-I used the [deepseek-ai/DeepSeek-R1-Distill-Llama-70B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-70B) model with another LLM chat application I also built on Hugging Face Spaces to generate the initial codebase. The LLM chat app is here: https://huggingface.co/spaces/Intel/intel-ai-enterprise-inference. It takes advantage of a [Intel® AI for Enterprise Inference](https://github.com/opea-project/Enterprise-Inference) with an OpenAI-compatible API key and model endpoint, hosted on cloud provider [Denvr Dataworks](https://www.denvrdata.com/intel).  
+I used the [deepseek-ai/DeepSeek-R1-Distill-Llama-70B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-70B) model with another LLM chat application I also built on Hugging Face Spaces to generate the initial codebase. The LLM chat app is here: https://huggingface.co/spaces/Intel/intel-ai-enterprise-inference. It takes advantage of the [Intel® AI for Enterprise Inference](https://github.com/opea-project/Enterprise-Inference) with an OpenAI-compatible API key and model endpoint, hosted on cloud provider [Denvr Dataworks](https://www.denvrdata.com/intel).  
 
 If you are interested in looking at which models are currently available, you can ping the endpoint with the instructions below. This is standard boilerplate OpenAI code to check on your models that you can use with any OpenAI-compatible API key and model endpoint. First, make sure to save your API key and model endpoint in your environment variables first.
 ```bash