Remove some commented out code + add condition for the execution of make publish

Makefile

@@ -46,6 +46,11 @@ backend:
 	make install_backend
 	poetry run uvicorn langflow.main:app --port 7860 --reload --log-level debug
 
+build_and_run:
+	echo 'Removing dist folder'
+	rm -rf dist
+	make build && poetry run pip install dist/*.tar.gz && poetry run langflow
+
 build_frontend:
 	cd src/frontend && CI='' npm run build
 	cp -r src/frontend/build src/backend/langflow/frontend
@@ -78,8 +83,22 @@ else
 endif
 
 publish:
-	make build
-	poetry publish
+	@while true; do \
+		read -p "Do you want to build and publish LangFlow? [y/n]: " yn; \
+		case "$$yn" in \
+			y|Y ) \
+				echo "Building..."; \
+				make build; \
+				echo "Publishing..."; \
+				poetry publish; \
+				break ;; \
+			n|N ) \
+				echo "Bye!!!"; \
+				break ;; \
+			* ) \
+				echo "Invalid response, please enter 'y' or 'n'.\n" ;; \
+		esac \
+	done
 
 help:
 	@echo '----'

src/backend/langflow/config.yaml

@@ -18,7 +18,6 @@ chains:
   - SQLDatabaseChain
   - RetrievalQA
   - RetrievalQAWithSourcesChain
-  - QAWithSourcesChain
   - ConversationalRetrievalChain
   - CombineDocsChain
 documentloaders:

src/backend/langflow/graph/vertex/base.py

@@ -53,7 +53,7 @@ class Vertex:
             if "Tool" not in self.output or template_dict["_type"].islower()
             else template_dict["_type"]
         )
-        # self.vertex_type = template_dict["_type"]
+
         if self.base_type is None:
             for base_type, value in ALL_TYPES_DICT.items():
                 if self.vertex_type in value:

src/backend/langflow/interface/chains/base.py

@@ -60,12 +60,6 @@ class ChainCreator(LangChainTypeCreator):
             logger.error(f"Chain {name} not loaded: {exc}")
             return None
 
-    # def to_list(self) -> List[str]:
-    #     custom_chains = list(get_custom_nodes("chains").keys())
-    #     default_chains = list(self.type_to_loader_dict.keys())
-
-    #     return default_chains + custom_chains
-
     def to_list(self) -> List[str]:
         names = []
         for _, chain in self.type_to_loader_dict.items():