diff --git a/.gitignore b/.gitignore
index d6e094b..56e4c6a 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,5 +1,5 @@
 *
-!.py
+!*.py
 .env
 !.gitignore
 .venv
\ No newline at end of file
diff --git a/__init__.py b/__init__.py
new file mode 100644
index 0000000..be89aa6
--- /dev/null
+++ b/__init__.py
@@ -0,0 +1 @@
+from arango_class import ArangoDB
\ No newline at end of file
diff --git a/llm_sentiment.py b/llm_sentiment.py
new file mode 100644
index 0000000..b544f6e
--- /dev/null
+++ b/llm_sentiment.py
@@ -0,0 +1,24 @@
+from arango_class import ArangoDB
+from ollama_class import Ollama
+
+# Initialize the Ollama class to use for questions to AI
+ollama = Ollama()
+
+# Get the connection to the Arango DB
+arango = ArangoDB()
+db = arango.db
+
+# Get all speeches from the 'ev_speeches' collection, containing the 400 speeches filtered out from the European Parliament
+speeches = arango.all_ev_speeches()
+
+# Go through each speech and ask the AI if the speech is positive, negative or neutral towards electric vehicles
+for speech in speeches:
+    text = speech['text']
+    prompt = f'''In the speech below something related to electric vehicles is mentioned.\n
+    """{text}"""\n
+    Is the speech positive, negative or neutral when it comes to electric vehicles?
+    Asnwer ONLY with 'positive', 'negative' or 'neutral', NOTHING else.
+    '''
+    sentiment = ollama.generate(prompt=prompt)
+    speech['sentiment'] = sentiment
+    arango.update_ev_document(speech)