Update main.py

main.py

@@ -18,19 +18,6 @@ from langchain.schema.runnable.config import RunnableConfig
 from langchain.schema.runnable import Runnable, RunnablePassthrough, RunnableLambda
 from langchain_core.prompts import PromptTemplate
 
-os.environ['HUGGINGFACEHUB_API_TOKEN'] = os.environ['HUGGINGFACEHUB_API_TOKEN']
-repo_id = "mistralai/Mixtral-8x7B-Instruct-v0.1"
-
-llm = HuggingFaceEndpoint(
-    repo_id=repo_id, max_new_tokens=8000, temperature=1.0, task="text2text-generation", streaming=True
-)
-os.environ['PINECONE_API_KEY'] = os.environ['PINECONE_API_KEY']
-embeddings = HuggingFaceEmbeddings()
-index_name = "all-venus"
-pc = Pinecone(
-    api_key=os.environ['PINECONE_API_KEY']
-)
-index = pc.Index(index_name) 
 @cl.password_auth_callback
 def auth_callback(username: str, password: str):
     auth = json.loads(os.environ['CHAINLIT_AUTH_LOGIN'])
@@ -62,6 +49,19 @@ async def chat_profile():
     
 @cl.on_chat_start
 async def on_chat_start():
+    os.environ['HUGGINGFACEHUB_API_TOKEN'] = os.environ['HUGGINGFACEHUB_API_TOKEN']
+    repo_id = "mistralai/Mixtral-8x7B-Instruct-v0.1"
+
+    llm = HuggingFaceEndpoint(
+        repo_id=repo_id, max_new_tokens=8000, temperature=1.0, task="text2text-generation", streaming=True
+    )
+    os.environ['PINECONE_API_KEY'] = os.environ['PINECONE_API_KEY']
+    embeddings = HuggingFaceEmbeddings()
+    index_name = "all-venus"
+    pc = Pinecone(
+        api_key=os.environ['PINECONE_API_KEY']
+    )
+    index = pc.Index(index_name) 
     await cl.Message(f"> REVIEWSTREAM").send()
     await cl.Message(f"Nous avons le plaisir de vous accueillir dans l'application de recherche et d'analyse des publications.").send()
     listPrompts_name = f"Liste des revues de recherche"