fixes

src/backend/langflow/api/base.py

@@ -1,6 +1,5 @@
 from pydantic import BaseModel, validator
 
-from langflow.graph.utils import extract_input_variables_from_prompt
 
 
 class Code(BaseModel):

src/backend/langflow/interface/base.py

@@ -1,4 +1,3 @@
-import abc
 from abc import ABC, abstractmethod
 from typing import Any, Dict, List, Optional, Type, Union
 

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

@@ -81,7 +81,7 @@ class MidJourneyPromptChain(BaseCustomChain):
     Current conversation:
     {history}
     Human: {input}
-    AI:"""
+    AI:"""  # noqa: E501
 
 
 class TimeTravelGuideChain(BaseCustomChain):
@@ -91,7 +91,7 @@ class TimeTravelGuideChain(BaseCustomChain):
     Current conversation:
     {history}
     Human: {input}
-    AI:"""
+    AI:"""  # noqa: E501
 
 
 CUSTOM_CHAINS: Dict[str, Type[ConversationChain]] = {

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

@@ -1,7 +1,6 @@
 from typing import Dict, List, Optional, Type
 
 from langchain import prompts
-from langchain.prompts import loading
 
 from langflow.custom.customs import get_custom_nodes
 from langflow.interface.base import LangChainTypeCreator

src/backend/langflow/interface/prompts/custom.py

@@ -4,8 +4,6 @@ from langchain.prompts import PromptTemplate
 from pydantic import root_validator
 
 from langflow.graph.utils import extract_input_variables_from_prompt
-from langflow.template.base import Template, TemplateField
-from langflow.template.nodes import PromptTemplateNode
 
 # Steps to create a BaseCustomPrompt:
 # 1. Create a prompt template that endes with: