Update app.py

app.py

@@ -39,7 +39,7 @@ collection = client.get_or_create_collection(
 )
 
 # Load the embedding model
-embedding_model = SentenceTransformer('sentence-transformers/paraphrase-MiniLM-L6-v2')
+embedding_model = SentenceTransformer('sentence-transformers/paraphrase-multilingual-mpnet-base-v2')
 
 # Initialize the text splitter
 text_splitter = RecursiveCharacterTextSplitter(chunk_size=1200, chunk_overlap=150)
@@ -81,7 +81,7 @@ client1 = OpenAI(base_url="https://openrouter.ai/api/v1", api_key=API_KEY)  # re
 semantic_model = SentenceTransformer("sentence-transformers/all-mpnet-base-v2")
 
 # For ChromaDB
-#embedding_model = HuggingFaceEmbeddings(model_name="sentence-transformers/paraphrase-MiniLM-L6-v2")
+#embedding_model = HuggingFaceEmbeddings(model_name="sentence-transformers/paraphrase-multilingual-mpnet-base-v2")
 
 # ---------------------- Load QA Data ----------------------
 with open("qa.json", "r", encoding="utf-8") as f: