diff --git a/src/components/NotebookViewer.tsx b/src/components/NotebookViewer.tsx
index 180abbd..a230716 100644
--- a/src/components/NotebookViewer.tsx
+++ b/src/components/NotebookViewer.tsx
@@ -24,8 +24,9 @@ const splitTextWithCellInfo = (
   }> = []
   const regex = /\{\/*\*\s*cell:(\d+)\s*cell_type:(\w+)\s*\*\/\}/g
   let match
-
   while ((match = regex.exec(text)) !== null) {
+    console.log(match)
+    debugger
     cells.push({
       idx: match.index,
       l: match[0].length,
@@ -34,6 +35,8 @@ const splitTextWithCellInfo = (
       content: "",
     })
   }
+  console.log("CELL", cells)
+  debugger
   // now based on the indexes we can extract the content
   for (let i = 0; i < cells.length; i++) {
     const start = cells[i].idx + cells[i].l
@@ -123,8 +126,12 @@ const NotebookViewer: React.FC<NotebookViewerProps> = ({
             ))}
         </Col>
         <Col lg="5" className="ps-4">
-          <h4>Abstract</h4>
-          <MarkdownSnipped className="m-0 small" value={excerpt} />
+          {excerpt.length > 0 && (
+            <>
+              <h4>Abstract</h4>
+              <MarkdownSnipped className="m-0 small" value={excerpt} />
+            </>
+          )}
           <div
             style={{
               position: "sticky",
diff --git a/src/content/notebooks/impresso-py-collections.mdx b/src/content/notebooks/impresso-py-collections.mdx
index 376450c..3fe41c9 100644
--- a/src/content/notebooks/impresso-py-collections.mdx
+++ b/src/content/notebooks/impresso-py-collections.mdx
@@ -7,6 +7,7 @@ sha: 4a05f4772be7279de1908f46c93dc12de334d112
 date: 2024-10-11T07:37:06Z
 googleColabUrl: https://colab.research.google.com/github/impresso/impresso-py/blob/main/examples/notebooks/collections.ipynb
 links: []
+excerpt: The notebook shows how to find collections associated with your Impresso account and retrieve details about specific collections using their IDs. Then it demonstrates how to search, get, add, and remove items from collections using the Impresso Python Library.
 ---
 
 {/* cell:0 cell_type:code */}
diff --git a/src/content/notebooks/impresso-py-search.mdx b/src/content/notebooks/impresso-py-search.mdx
index a23bb8f..0e7e876 100644
--- a/src/content/notebooks/impresso-py-search.mdx
+++ b/src/content/notebooks/impresso-py-search.mdx
@@ -9,9 +9,11 @@ sha: 174887aba852fafda3d2898480daf06ae31041b1
 date: 2024-10-22T16:03:03Z
 googleColabUrl: https://colab.research.google.com/github/impresso/impresso-py/blob/main/examples/notebooks/search.ipynb
 links: []
+excerpt: This notebook provides an overview of the search capabilities of the Impresso Python Library.
 ---
 
 {/* cell:0 cell_type:code */}
+
 ```python
 from impresso import connect
 
@@ -19,39 +21,49 @@ impresso = connect()
 ```
 
 {/* cell:1 cell_type:markdown */}
+
 ## Term
 
 Find all items containing "impresso" keyword.
 
 {/* cell:2 cell_type:code */}
+
 ```python
 impresso.search.find(q="impresso")
 ```
 
 {/* cell:3 cell_type:markdown */}
+
 ## With text content only
 
 Limit to content items that have text.
 
 {/* cell:4 cell_type:code */}
+
 ```python
 impresso.search.find(q="impresso", with_text_contents=True)
 ```
 
 {/* cell:5 cell_type:markdown */}
+
 ## Title
+
 Find items that have the keyword "impresso" in their title.
 
 {/* cell:6 cell_type:code */}
+
 ```python
 impresso.search.find(title="impresso")
 ```
 
 {/* cell:7 cell_type:markdown */}
+
 ### Complex term requests
+
 Find items that have both terms.
 
 {/* cell:8 cell_type:code */}
+
 ```python
 from impresso import AND
 
@@ -64,6 +76,7 @@ Find items that have either one term or the other.
 Here we find all content items that contain either "homme" or "femme" in the title.
 
 {/* cell:10 cell_type:code */}
+
 ```python
 from impresso import OR
 
@@ -71,11 +84,13 @@ impresso.search.find(title=OR("homme", "femme"))
 ```
 
 {/* cell:11 cell_type:markdown */}
-## Inverted search (everything excluding term A __OR__ term B).
+
+## Inverted search (everything excluding term A **OR** term B).
 
 We want to find all content items with the word "luddite" in the title that do not mention neither "textile" nor "machine"
 
 {/* cell:12 cell_type:code */}
+
 ```python
 from impresso import OR
 
@@ -83,15 +98,17 @@ impresso.search.find(title="luddite", q=~OR("textile", "machine"))
 ```
 
 {/* cell:13 cell_type:markdown */}
+
 ### Complex combintation of terms
 
 The following cell searches all content items with all of the the following condition:
 
-* mentioning "hitler" and "stalin"
-* also mentioning one of: "molotow" or "ribbentrop"
-* and not mentioning "churchill"
+- mentioning "hitler" and "stalin"
+- also mentioning one of: "molotow" or "ribbentrop"
+- and not mentioning "churchill"
 
 {/* cell:14 cell_type:code */}
+
 ```python
 from impresso import AND, OR
 
@@ -99,21 +116,25 @@ impresso.search.find(q=AND("hitler", "stalin") & OR("molotow", "ribbentrop") & ~
 ```
 
 {/* cell:15 cell_type:markdown */}
+
 ## Front page
 
 Find content items published on the front page only
 
 {/* cell:16 cell_type:code */}
+
 ```python
 impresso.search.find(q="impresso", front_page=True)
 ```
 
 {/* cell:17 cell_type:markdown */}
+
 ## Entity ID
 
 Search by entity ID
 
 {/* cell:18 cell_type:code */}
+
 ```python
 impresso.search.find(entity_id="aida-0001-54-Switzerland")
 ```
@@ -122,6 +143,7 @@ impresso.search.find(entity_id="aida-0001-54-Switzerland")
 Find all content items that mention Switzerland and Albert Einstein.
 
 {/* cell:20 cell_type:code */}
+
 ```python
 impresso.search.find(entity_id=AND("aida-0001-54-Switzerland", "aida-0001-50-Albert_Einstein"))
 ```
@@ -130,26 +152,31 @@ impresso.search.find(entity_id=AND("aida-0001-54-Switzerland", "aida-0001-50-Alb
 Find all content items that mention either Switzerland or Albert Einstein.
 
 {/* cell:22 cell_type:code */}
+
 ```python
 impresso.search.find(entity_id=OR("aida-0001-54-Switzerland", "aida-0001-50-Albert_Einstein"))
 ```
 
 {/* cell:23 cell_type:markdown */}
+
 ## Newspaper
 
 Limit search to two newspapers
 
 {/* cell:24 cell_type:code */}
+
 ```python
 impresso.search.find(q="independence", newspaper_id=OR("EXP", "GDL"))
 ```
 
 {/* cell:25 cell_type:markdown */}
+
 ## Date range
 
 Items published between dates
 
 {/* cell:26 cell_type:code */}
+
 ```python
 from impresso import DateRange
 
@@ -160,6 +187,7 @@ impresso.search.find(q="independence", date_range=DateRange("1921-05-21", "2001-
 Content items published at any time excluding the range (not the `~` that negates the range).
 
 {/* cell:28 cell_type:code */}
+
 ```python
 from impresso import DateRange
 
@@ -167,11 +195,13 @@ impresso.search.find(q="independence", date_range=~DateRange("1921-05-21", "2001
 ```
 
 {/* cell:29 cell_type:markdown */}
+
 ## Language
 
 Search for the term "banana" in English or Italian.
 
 {/* cell:30 cell_type:code */}
+
 ```python
 impresso.search.find(q="banana", language=OR("it", "en"))
 ```
@@ -180,235 +210,281 @@ impresso.search.find(q="banana", language=OR("it", "en"))
 And now search for the word "banana" in any language _except_ English or Italian.
 
 {/* cell:32 cell_type:code */}
+
 ```python
 impresso.search.find(q="banana", language=~OR("it", "en"))
 ```
 
 {/* cell:33 cell_type:markdown */}
+
 ## Entity mention
 
 Find content items that mention two entities.
 
 {/* cell:34 cell_type:code */}
+
 ```python
 impresso.search.find(mention=AND("Charlie Chaplin", "Switzerland"))
 ```
 
 {/* cell:35 cell_type:markdown */}
+
 ## Topic
 
 Find content items that match either of the two topics.
 
 {/* cell:36 cell_type:code */}
+
 ```python
 impresso.search.find(topic_id=OR("tm-fr-all-v2.0_tp07_fr", "tm-fr-all-v2.0_tp48_fr"))
 ```
 
 {/* cell:37 cell_type:markdown */}
+
 ## Collection
 
 Find all content items in a collection.
 
 {/* cell:38 cell_type:code */}
+
 ```python
 impresso.search.find(collection_id="REPLACEME")
 ```
 
 {/* cell:39 cell_type:markdown */}
+
 ## Country
 
 Find all content items published in either of the two specified countries.
 
 {/* cell:40 cell_type:code */}
+
 ```python
 impresso.search.find(q="Schengen", country=OR("FR", "CH"))
 ```
 
 {/* cell:41 cell_type:markdown */}
+
 ## Access rights
 
 Limit search to content items with specific access rights.
 
 {/* cell:42 cell_type:code */}
+
 ```python
 impresso.search.find(q="Schengen", access_rights="Closed")
 ```
 
 {/* cell:43 cell_type:markdown */}
+
 ## Partner
 
 Limit search to content items provided by a specific partner of the Impresso project.
 
 {/* cell:44 cell_type:code */}
+
 ```python
 impresso.search.find(q="Schengen", partner_id="Migros")
 ```
 
 {/* cell:45 cell_type:markdown */}
+
 ## Text reuse cluster
 
 Find all content items that are part of a specific text reuse cluster.
 
 {/* cell:46 cell_type:code */}
+
 ```python
 from impresso import OR
 impresso.search.find(text_reuse_cluster_id=OR("tr-nobp-all-v01-c29"))
 ```
 
 {/* cell:47 cell_type:markdown */}
+
 # Facets
 
-Facets are a way to get a summary of the search results from the perspective of a specific field. In a facet search result the field values are grouped together and the number of items in each group is displayed. 
+Facets are a way to get a summary of the search results from the perspective of a specific field. In a facet search result the field values are grouped together and the number of items in each group is displayed.
 
 Facet search method has the same attributes as the search method.
 
 {/* cell:48 cell_type:markdown */}
+
 ## Date range
 
 Get the number of content items that mention "Impresso", published on ever particular date.
 
 {/* cell:49 cell_type:code */}
+
 ```python
 impresso.search.facet("daterange", q="impresso")
 ```
 
 {/* cell:50 cell_type:markdown */}
+
 ## Year
 
 Get the number of content items that mention "impresso", published during every particular year.
 
 {/* cell:51 cell_type:code */}
+
 ```python
 impresso.search.facet("year", q="impresso")
 ```
 
 {/* cell:52 cell_type:markdown */}
+
 ## Content length
 
 Get the number of content items that mention "impresso", grouped by content length.
 
 {/* cell:53 cell_type:code */}
+
 ```python
 impresso.search.facet("contentLength", q="impresso")
 ```
 
 {/* cell:54 cell_type:markdown */}
+
 ## Month
 
 Get the number of content items that mention "impresso", published during every particular month.
 
 {/* cell:55 cell_type:code */}
+
 ```python
 impresso.search.facet("month", q="impresso")
 ```
 
 {/* cell:56 cell_type:markdown */}
+
 ## Country
 
 Get the number of content items that mention "impresso", grouped by country they were published in.
 
 {/* cell:57 cell_type:code */}
+
 ```python
 impresso.search.facet("country", q="impresso")
 ```
 
 {/* cell:58 cell_type:markdown */}
+
 ## Type
 
 Get the number of items that mention "impresso", grouped by type of item.
 
 {/* cell:59 cell_type:code */}
+
 ```python
 impresso.search.facet("type")
 ```
 
 {/* cell:60 cell_type:markdown */}
+
 ## Topic
 
 Find topics that the content items mentioning "impresso" are related to.
 
 {/* cell:61 cell_type:code */}
+
 ```python
 impresso.search.facet("topic", q="pomme")
 ```
 
 {/* cell:62 cell_type:markdown */}
+
 ## Collection
 
 Find collections the content items mentioning "pomme" are part of.
 
 {/* cell:63 cell_type:code */}
+
 ```python
 impresso.search.facet("collection", q="pomme")
 ```
 
 {/* cell:64 cell_type:markdown */}
+
 ## Newspaper
 
 Find newspapers that the content items mentioning "Schengen" were published in.
 
 {/* cell:65 cell_type:code */}
+
 ```python
 impresso.search.facet("newspaper", q="Schengen")
 ```
 
 {/* cell:66 cell_type:markdown */}
+
 ## Language
 
 Find all languages the content items mentioning "impresso" were published in.
 
 {/* cell:67 cell_type:code */}
+
 ```python
 impresso.search.facet("language", q="Schengen")
 ```
 
 {/* cell:68 cell_type:markdown */}
+
 ## Person
 
 Find all persons mentioned in content items that mention "Schengen". Get only the last page.
 
 {/* cell:69 cell_type:code */}
+
 ```python
 impresso.search.facet("person", q="Schengen", offset=7140)
 ```
 
 {/* cell:70 cell_type:markdown */}
+
 ## Location
 
 Find all locations mentioned in content items that mention "Schengen". Get only the last page.
 
 {/* cell:71 cell_type:code */}
+
 ```python
 impresso.search.facet("location", q="Schengen", offset=3310)
 ```
 
 {/* cell:72 cell_type:markdown */}
+
 ## NAG
 
 Find all entities without a known type mentioned in content items that mention "homme" and "femme".
 
 {/* cell:73 cell_type:code */}
+
 ```python
 from impresso import AND
 impresso.search.facet("nag", title=AND("homme", "femme"))
 ```
 
 {/* cell:74 cell_type:markdown */}
+
 ## Access rights
 
 Get access rights of content items mentioning "pomme".
 
 {/* cell:75 cell_type:code */}
+
 ```python
 impresso.search.facet("accessRight", q="pomme")
 ```
 
 {/* cell:76 cell_type:markdown */}
+
 ## Partner
 
 Get Impresso partners that provided content items mentioning "pomme".
 
 {/* cell:77 cell_type:code */}
+
 ```python
 impresso.search.facet("partner", q="pomme")
 ```
diff --git a/src/content/notebooks/language-identification-with-impresso-hf.mdx b/src/content/notebooks/language-identification-with-impresso-hf.mdx
index 45ac095..35d6497 100644
--- a/src/content/notebooks/language-identification-with-impresso-hf.mdx
+++ b/src/content/notebooks/language-identification-with-impresso-hf.mdx
@@ -7,6 +7,13 @@ sha: d56a2704ce8f28179bd1c7ce592b0e55b6ac5866
 date: 2024-10-24T16:21:08Z
 googleColabUrl: https://colab.research.google.com/github/impresso/impresso-datalab-notebooks/blob/main/annotate/language-identification_ImpressoHF.ipynb
 links: []
+excerpt: This notebook demonstrates language identification using a pre-trained
+  Floret model from Hugging Face, enabling you to predict the language of a
+  given text. It then uses this prediction to load a corresponding
+  language-specific NLP model for tasks like noun counting, highlighting the
+  importance of language identification in broader NLP applications. This
+  approach allows for more accurate and effective language processing across
+  various scenarios.
 ---
 
 {/* cell:0 cell_type:markdown */}