suppression spinner

src/streamlit_app.py

@@ -33,26 +33,15 @@ similarity_threshold = st.sidebar.slider(
     step=5
 )
 
-# Chargement des embeddings et de la base vectorielle au démarrage
-if "embeddings" not in st.session_state or "db" not in st.session_state:
-    with st.spinner("Chargement initial de la base de données vectorielle, merci de patienter..."):
-        try:
-            st.session_state["embeddings"] = get_local_embeddings()
-            # Utilisation stricte de la base vectorielle locale
-            db_path = os.path.abspath("./data/db")
-            st.session_state["db"] = Chroma(persist_directory=db_path, embedding_function=st.session_state["embeddings"])
-        except Exception as e:
-            st.error(f"❌ Erreur lors du chargement de la base vectorielle : {e}")
-            st.stop()
-
 # Saisie de l'utilisateur
 user_input = st.text_area("✉️ Votre question :", height=200)
 
 # Bouton d'envoi de la question
 if st.button("📤 Envoyer") and user_input.strip():
     with st.spinner("Recherche et génération de la réponse..."):
-        embeddings = st.session_state["embeddings"]
-        db = st.session_state["db"]
+        embeddings = get_local_embeddings()
+        db_path = os.path.abspath("./data/db")
+        db = Chroma(persist_directory=db_path, embedding_function=embeddings)
         retriever = db.as_retriever(search_kwargs={"k": max_docs})
         docs_and_scores = retriever.vectorstore.similarity_search_with_score(user_input, k=max_docs)
         threshold_value = similarity_threshold / 100