Update main.py

main.py

@@ -42,8 +42,8 @@ model = HuggingFaceEndpoint(
     repo_id=repo_id, max_new_tokens=5000, temperature=1.0, task="text2text-generation", streaming=True
 )
 os.environ['PINECONE_API_KEY'] = os.environ['PINECONE_API_KEY']
-    embeddings = HuggingFaceEmbeddings()
-    index_name = "all-venus"
+embeddings = HuggingFaceEmbeddings()
+index_name = "all-venus"
     #pc = Pinecone(
     #    api_key=os.environ['PINECONE_API_KEY']
     #)
@@ -53,10 +53,10 @@ os.environ['PINECONE_API_KEY'] = os.environ['PINECONE_API_KEY']
     #context = ""
     #for result in xc['matches']:
     #    context = context + result['metadata']['text']
-    vectorstore = PineconeVectorStore(
-        index_name=index_name, embedding=embeddings
-    )
-    retriever = vectorstore.as_retriever(search_type="similarity_score_threshold", search_kwargs={"score_threshold": .7, "k": 150,"filter": {'categorie': {'$eq': 'bibliographie-OPP-DGDIN'}}})
+vectorstore = PineconeVectorStore(
+    index_name=index_name, embedding=embeddings
+)
+retriever = vectorstore.as_retriever(search_type="similarity_score_threshold", search_kwargs={"score_threshold": .7, "k": 150,"filter": {'categorie': {'$eq': 'bibliographie-OPP-DGDIN'}}})
     
 @cl.on_chat_start
 async def on_chat_start():