fix model selection

app.py

@@ -242,7 +242,7 @@ if submit_button_placeholder.button("AI Answer", type="primary"):
                         num_beams=tommi_num_beams if not tommi_do_sample else 1,
                         max_new_tokens=tommi_max_new_tokens
                     )
-                else:
+                elif model in ["gpt-4o-mini", "gpt-3.5-turbo"]:
                     expert_answer = openai_domain_specific_answer_generation(
                         get_expert_system_prompt(),
                         st.session_state.question,

utils/rag_utils.py

@@ -29,7 +29,6 @@ def load_summary(file_path):
 
 def fixed_knn_retrieval(question_embedding, context_embeddings, top_k=5, min_k=1):
     
-    
     question_embedding = np.array(question_embedding)
 
     # Normalize