LT vers GB

rag.py

@@ -121,8 +121,8 @@ scenes_vectore_store = get_vectorstore(scenes)
 
 
 def generate_sphinx_response() -> sphinx_output:
-    writer = "Laurent Tripied"
-    book_name =  "Limites de l'imaginaire ou limites planétaires"
+    writer = "Gaspard Boréal"
+    book_name =  "La confession muette"
     summary = summary_text
     excerpt , scene_number = get_random_chunk()
     if scene_number:
@@ -160,8 +160,8 @@ def generate_stream(query:str,messages = [], model = "gpt-4o-mini", max_tokens =
         print("init template")
         prompt = PromptTemplate.from_template(template)
 
-        writer = "Laurent Tripied"
-        name_book = "Limites de l'imaginaire ou limites planétaires"
+        writer = "Gaspard Boréal"
+        name_book = "La confession muette"
         name_icon = "Magritte"
         kg = loaded_graph
         print("retreiving context")
@@ -201,7 +201,7 @@ def generate_stream_whatif_chat(query:str,messages = [], model = "gpt-4o-mini",
         print("init template")
         prompt = PromptTemplate.from_template(template_whatif_response)
 
-        writer = "Laurent Tripied"
+        writer = "Gaspard Boréal"
         name_book = "La confession muette"
         print("retreiving context")
         context = retrieve_context_from_vectorestore(query)