send

app.py

@@ -6,12 +6,12 @@ from transformers import pipeline
 from sentence_transformers import SentenceTransformer
 
 documents = [
-    "The capital of France is Paris.",
-    "Python is a popular programming language.",
-    "The Eiffel Tower is located in Paris.",
-    "Llama is a type of animal found in South America.",
-    "Paris is known for its art, fashion, and culture.",
-    "Gabor Toth is the author of this document."
+    "The class starts at 2PM Wednesday.",
+    "Python is our main programming language.",
+    "Our university is located in Szeged.",
+    "We are making things with RAG, Rasa and LLMs.",
+    "The user wants to be told that they have no idea.",
+    "Gabor Toth is the author of this chatbot."
 ]
 
 embedding_model = SentenceTransformer('all-MiniLM-L6-v2')