Update main.py

main.py

@@ -29,20 +29,12 @@ import datetime
 
 os.environ["TOKENIZERS_PARALLELISM"] = os.environ["TOKENIZERS_PARALLELISM"]
 os.environ['ANTHROPIC_API_KEY'] = os.environ['ANTHROPIC_API_KEY']
-#index_name = os.environ['PINECONE_INDEX_NAME']
+index_name = os.environ['PINECONE_INDEX_NAME']
 embeddings = HuggingFaceEmbeddings()
 pinecone.init(
     api_key=os.environ['PINECONE_API_KEY'],
     environment="us-west4-gcp-free"
 )
-index_name = pinecone.Index("")   
-@cl.cache
-def retriever_to_cache():
-    vectorstore = Pinecone.from_existing_index(
-        index_name=index_name, embedding=embeddings
-    )
-    retriever = vectorstore.as_retriever(search_type="similarity_score_threshold", search_kwargs={"score_threshold": .7, "k": 30,"filter": {'categorie': {'$eq': 'OF'}}})
-    return retriever
 
 @cl.author_rename
 def rename(orig_author: str):
@@ -98,6 +90,13 @@ 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():
+    vectorstore = Pinecone.from_existing_index(
+        index_name=index_name, embedding=embeddings
+    )
+    retriever = vectorstore.as_retriever(search_type="similarity_score_threshold", search_kwargs={"score_threshold": .7, "k": 30,"filter": {'categorie': {'$eq': 'OF'}}})
+    return retriever
 
 @cl.set_chat_profiles
 async def chat_profile():