Update app.py

app.py

@@ -111,15 +111,14 @@ def conversation(qa_chain, message, history):
 
 
 SPACE_TITLE = """
-<center><h2>PDF-based chatbot</center></h2>
-<h3>Ask any questions about your PDF documents</h3>
+<center><h2>Corporate General Intelligence (CGI)</center></h2>
+<h3>Ask any questions about your PDF documents.</h3>
 """
 
 SPACE_INFO = """
-<b>Description:</b> This AI assistant, using Langchain and open-source LLMs, performs retrieval-augmented generation (RAG) from your PDF documents. \
-The user interface explicitely shows multiple steps to help understand the RAG workflow. 
-This chatbot takes past questions into account when generating answers (via conversational memory), and includes document references for clarity purposes.<br>
-<br><b>Notes:</b> Updated space with more recent LLM models (Qwen 2.5, Llama 3.2, SmolLM2 series) 
+<b>Description:</b> This AI assistant, using Langchain and open-source LLMs, performs retrieval-augmented generation (RAG) from your enterprise documents. \
+The user interface explicitly shows multiple steps to help understand the RAG workflow. 
+This chatbot accounts for past questions when generating answers (via conversational memory), and includes document references for clarity purposes.<br>
 <br><b>Warning:</b> This space uses the free CPU Basic hardware from Hugging Face. Some steps and LLM models used below (free inference endpoints) can take some time to generate a reply.
 """