Update app.py

app.py

@@ -180,8 +180,8 @@ langchain_document_loader()
 
 text_splitter = RecursiveCharacterTextSplitter(
     separators = ["\n\n", "\n", " ", ""],    
-    chunk_size = 2000,
-    chunk_overlap= 20
+    chunk_size = 1500,
+    chunk_overlap= 50
 )
 
 # Text splitting
@@ -228,7 +228,8 @@ def select_embeddings_model(LLM_service="HuggingFace"):
     if LLM_service == "HuggingFace":
         embeddings = HuggingFaceInferenceAPIEmbeddings(    
             api_key=HF_key, 
-            model_name="thenlper/gte-large"
+            #model_name="thenlper/gte-large"
+            model_name="sentence-transformers/all-MiniLM-l6-v2"
         )
     print("embedding model selected")
     return embeddings