Small tweak

service_functions.py

@@ -678,7 +678,7 @@ def validate_bnf_grammar_func(grammar):
             return False, f"Used rule {rule} is not defined."
     return True, "Valid BNF Grammar"
 
-def convert_document_to_sentences(file_path: str, mime_type: str) -> Dict[str, Any]:
+def convert_document_to_sentences_func(file_path: str, mime_type: str) -> Dict[str, Any]:
     # Extract text from document
     if mime_type.startswith('text/'):
         with open(file_path, 'r') as buffer:

swiss_army_llama.py

@@ -9,7 +9,7 @@
 from embeddings_data_models import EmbeddingResponse, SemanticSearchResponse, AdvancedSemanticSearchResponse, SimilarityResponse, AllStringsResponse, AllDocumentsResponse, TextCompletionResponse, AddGrammarResponse
 from embeddings_data_models import ShowLogsIncrementalModel
 from service_functions import get_or_compute_embedding, get_or_compute_transcript, add_model_url, get_or_compute_token_level_embedding_bundle_combined_feature_vector, calculate_token_level_embeddings
-from service_functions import parse_submitted_document_file_into_sentence_strings_func, compute_embeddings_for_document, store_document_embeddings_in_db, generate_completion_from_llm, validate_bnf_grammar_func, convert_document_to_sentences
+from service_functions import parse_submitted_document_file_into_sentence_strings_func, compute_embeddings_for_document, store_document_embeddings_in_db, generate_completion_from_llm, validate_bnf_grammar_func, convert_document_to_sentences_func
 from grammar_builder import GrammarBuilder
 from log_viewer_functions import show_logs_incremental_func, show_logs_func
 from uvicorn_config import option