Update app.py

app.py

@@ -57,8 +57,8 @@ def initialize_pinecone(index_name: str):
 # bm25 = BM25Encoder().load("./UAE-NLA.json")
 
 ### This is for UAE Legislation Website
-pinecone_index = initialize_pinecone("uae-legislation-site-data")
-bm25 = BM25Encoder().load("./bm25_uae_legislation_data.json")
+# pinecone_index = initialize_pinecone("uae-legislation-site-data")
+# bm25 = BM25Encoder().load("./bm25_uae_legislation_data.json")
 
 
 ### This is for u.ae Website
@@ -67,8 +67,8 @@ bm25 = BM25Encoder().load("./bm25_uae_legislation_data.json")
 
 
 # #### This is for UAE Economic Department Website
-# pinecone_index = initialize_pinecone("uae-department-of-economics-site-data")
-# bm25 = BM25Encoder().load("./bm25_uae_department_of_economics_data.json")
+pinecone_index = initialize_pinecone("uae-department-of-economics-site-data")
+bm25 = BM25Encoder().load("./bm25_uae_department_of_economics_data.json")
 
 
 
@@ -78,7 +78,7 @@ bm25 = BM25Encoder().load("./bm25_uae_legislation_data.json")
 # old_embed_model = HuggingFaceEmbeddings(model_name="sentence-transformers/gte-multilingual-base")
 
 # Initialize models and retriever
-embed_model = HuggingFaceEmbeddings(model_name="Alibaba-NLP/gte-large-en-v1.5", model_kwargs={"trust_remote_code":True})
+embed_model = HuggingFaceEmbeddings(model_name="sentence-transformers/gte-multilingual-base", model_kwargs={"trust_remote_code":True})
 retriever = PineconeHybridSearchRetriever(
     embeddings=embed_model, 
     sparse_encoder=bm25,