Update app.py

app.py

@@ -100,8 +100,7 @@ Query translation in a Retrieval-Augmented Generation (RAG) architecture is the
    The LLM reformulates the input into a succinct and effective query optimized for the retrieval system's semantic search capabilities.
 
 ### Purpose
-This ensures that the retrieval system receives a clear and focused query, increasing the relevance of the information it retrieves. The query translator acts as a bridge between human conversational language and the technical requirements of a semantic retrieval system.
-"""
+This ensures that the retrieval system receives a clear and focused query, increasing the relevance of the information it retrieves. The query translator acts as a bridge between human conversational language and the technical requirements of a semantic retrieval system.""")
 # User ID Input
 user_id = st.text_input("Experiment ID:", key="user_id")