updated a bit the code

app.py

@@ -66,9 +66,15 @@ with gr.Blocks(title="Solr Normalization Demo") as demo:
     # Add Solr explanation accordion
     with gr.Accordion("❓ What is Solr?", open=False) as solr_info:
         gr.Markdown("""
-        **Solr** is the platform that provides search capabilities in Impresso. Several preprocessing steps must be undertaken to prepare data to be searchable in Solr. 
-        
-        These steps are common in Natural Language Processing pipelines, as they help with normalising textual data by, for example, making the whole text lowercase. This makes possible non case-sensitive searches, where if you either write 'Dog' or 'dog', you can get the same results.
+        **Solr is the search engine platform used to power fast and flexible information retrieval.**  
+        It indexes large collections of text and allows users to query them efficiently, returning the most relevant results.  
+
+        Before data can be used in Solr, it must go through several **preprocessing and indexing steps**.  
+        These include tokenization (splitting text into words), lowercasing, stopword removal (e.g., ignoring common words like "the" or "and"), and stemming or lemmatization (reducing words to their root forms).  
+
+        Such steps are common in **Natural Language Processing (NLP)** pipelines, as they help standardize text and make search more robust.  
+        For example, thanks to normalization, a search for "running" can also match documents containing "run."  
+        Similarly, lowercasing ensures that "History" and "history" are treated as the same word, making searches case-insensitive.
         """)
     
     with gr.Row():