removed langchain dependency

HumanStandardInputFlow.py

@@ -2,7 +2,11 @@ from copy import deepcopy
 from typing import Dict, Any
 
 import hydra
+<<<<<<< HEAD
 from langchain import PromptTemplate
+=======
+from flows.prompt_template import JinjaPrompt
+>>>>>>> removed langchain dependency
 
 from flows.base_flows import AtomicFlow
 from flows.messages import UpdateMessage_Generic
@@ -16,18 +20,17 @@ log = logging.get_logger(f"flows.{__name__}")  # ToDo: Is there a better fix?
 class HumanStandardInputFlow(AtomicFlow):
     REQUIRED_KEYS_CONFIG = ["request_multi_line_input_flag"]
 
-    query_message_prompt_template: PromptTemplate = None
+    query_message_prompt_template: JinjaPrompt = None
 
     __default_flow_config = {
         "end_of_input_string": "EOI",
         "input_keys": [],
         "description": "Reads input from the user's standard input.",
         "query_message_prompt_template": {
-            "_target_": "langchain.PromptTemplate",
+            "_target_": "flows.prompt_template.JinjaPrompt",
             "template": "",
             "input_variables": [],
             "partial_variables": {},
-            "template_format": "jinja2"
         }
     }
 
@@ -41,7 +44,6 @@ class HumanStandardInputFlow(AtomicFlow):
 
         kwargs["query_message_prompt_template"] = \
             hydra.utils.instantiate(config['query_message_prompt_template'], _convert_="partial")
-
         return kwargs
 
     @classmethod