Update app.py

app.py

@@ -16,7 +16,7 @@ my_initial_rag_text = f"""This is a RAG (Retrieval-Augmented Generation) chatbot
 - Uses Streamlit for the web interface
 - Employs SentenceTransformer for generating embeddings
 - Uses HuggingFace's InferenceClient for LLM interaction
-- Has a default text about a GRNET training module on LLMs
+- Has a default text about a training module on LLMs
 
 2. State Management:
 - Maintains several session state variables for:
@@ -130,7 +130,7 @@ By using the Software, you agree to the terms and conditions of the disclaimer."
 
 # Check if the sentences are not already in the session state
 if "my_sentences" not in st.session_state:
-    my_sentences_split = st.session_state["my_rag_text"].split(".")
+    my_sentences_split = st.session_state["my_rag_text"].split("\n")
     st.session_state["my_sentences"] = []
     for my_sentence in my_sentences_split:
         if my_sentence.strip():
@@ -166,7 +166,7 @@ with column_2:
         similarity_to_question = cosine_similarity(my_question_embedding, st.session_state.my_embeddings).flatten()
         
         # Number of sentences to keep based on similarity
-        nof_keep_sentences = 3
+        nof_keep_sentences = 10
         
         # Get the indices of the top similar sentences
         sorted_indices = similarity_to_question.argsort()[::-1][:nof_keep_sentences]