Update src/run.py

src/run.py

@@ -14,16 +14,16 @@ if __name__ == "__main__":
     breaks(2)
     st.write(
         """
-    Welcome to this Streamlit app that demonstrates Retrieval-Augmented Generation (RAG) using a **Mistral-7B model hosted on Runpod** and **ChromaDB** for retrieval.
+    🎉 Welcome!
+    This Streamlit app lets you try out Retrieval-Augmented Generation (RAG) with the Mistral-7B model.  
+    RAG helps the model find relevant information from documents before answering — so you get more accurate and helpful responses!
 
     With this app, you can:
     - Upload multiple PDF or text files to build a contextual knowledge base,
     - Ask custom questions based on your uploaded documents, and
     - Generate informed responses using a lightweight, hosted LLM.
-
-    **Note:** All uploaded files and generated embeddings are stored **in memory only** and will be **lost when the app is closed or restarted**. No data is persisted between sessions.
     """
-    )
+    ) # **Note:** All uploaded files and generated embeddings are stored **in memory only** and will be **lost when the app is closed or restarted**. No data is persisted between sessions.
     
     # # Disable Chroma telemetry
     os.environ["CHROMA_TELEMETRY_ENABLED"] = "False"