Update main.py

main.py

@@ -78,23 +78,19 @@ async def on_action(action):
     
 @cl.cache
 def to_cache(file):
-    #time.sleep(5)  # Simulate a time-consuming process
     return "https://cipen.univ-gustave-eiffel.fr/fileadmin/CIPEN/datas/assets/docs/" + file + ".csv"
 
 @cl.cache
 def retriever_to_cache():
     index_name = os.environ['PINECONE_INDEX_NAME']
     embeddings = HuggingFaceEmbeddings()
-    time.sleep(11)
     pinecone.init(
         api_key=os.environ['PINECONE_API_KEY'],
         environment="us-west4-gcp-free"
     )
-    time.sleep(11)
     vectorstore = Pinecone.from_existing_index(
         index_name=index_name, embedding=embeddings
     )
-    time.sleep(11)
     retriever = vectorstore.as_retriever(search_type="similarity_score_threshold", search_kwargs={"score_threshold": .7, "k": 30,"filter": {'categorie': {'$eq': 'OF'}}})
     return retriever
 
@@ -269,7 +265,7 @@ async def main(message: cl.Message):
         text_elements = []
         metadatas = ''
         if source_documents:
-            for source_idx, source_doc in enumerate(source_documents[::-1]):
+            for source_idx, source_doc in enumerate(source_documents):
                 numSource = source_idx + 1
                 source_name = f"Source n°{numSource}"
                 text_elements.append(