Update README.md

README.md

@@ -1,30 +1,35 @@
-#  Streamlit simple QA Inference App with Ollama, Nvidia Cloud and Groq
-
-> Post : 
-
-> Deployed : no
-
-Two different ways to develop the same chatbot application
-- app_api_completion.py : make QA inference with LLMs by choosing between the native Chat API completion endpoints provided by Ollama, Nvidia or Groq
-- app_langchain_completion.py : make QA inference with LLMs with the dedicated Langchain wrappers for Ollama, Nvidia or Groq
-
-You can use one, two or the three LLMs hosting solutions according to your environment :
-
-- a running Ollama instance : the default base_url is http://localhost:11434 but if needed (remote or dockerized Ollama instance for example) you change it in the OllamaClient in clients.py
-*and/or*
-- a valid API key on the Nvidia Cloud : [https://build.nvidia.com/explore/discover](https://build.nvidia.com/explore/discover)
-*and/or*
-- a valid API key on Groq Cloud : [https://console.groq.com/playground](https://console.groq.com/playground)
-
-
-
-```
-git clone
-pip install -r requirements.txt
-streamlit run Home.py
-```
-
-Running on http://localhost:8501
-
-![screenshot](screenshot.png)
-
+---
+license: mit
+title: Streamlit simple QA Inference App with Ollama, Nvidia Cloud and Groq
+app_file: Home.py
+---
+
+#  Streamlit simple QA Inference App with Ollama, Nvidia Cloud and Groq
+
+> Post : [https://iaetbibliotheques.fr/2024/05/comment-executer-localement-un-llm-22](https://iaetbibliotheques.fr/2024/05/comment-executer-localement-un-llm-22)
+
+> Deployed : no
+
+Two different ways to develop the same chatbot application
+- app_api_completion.py : make QA inference with LLMs by choosing between the native Chat API completion endpoints provided by Ollama, Nvidia or Groq
+- app_langchain_completion.py : make QA inference with LLMs with the dedicated Langchain wrappers for Ollama, Nvidia or Groq
+
+You can use one, two or the three LLMs hosting solutions according to your environment :
+
+- a running Ollama instance : the default base_url is http://localhost:11434 but if needed (remote or dockerized Ollama instance for example) you change it in the OllamaClient in clients.py
+*and/or*
+- a valid API key on the Nvidia Cloud : [https://build.nvidia.com/explore/discover](https://build.nvidia.com/explore/discover)
+*and/or*
+- a valid API key on Groq Cloud : [https://console.groq.com/playground](https://console.groq.com/playground)
+
+
+
+```
+git clone
+pip install -r requirements.txt
+streamlit run Home.py
+```
+
+Running on http://localhost:8501
+
+![screenshot](screenshot.png)