Refactor MyPythonClass build method to accept openai_api_key parameter.

- The `build` method of `MyPythonClass` is modified to accept an `openai_api_key` parameter instead of using a hardcoded value.
- This change allows for dynamic usage of different API keys when constructing an instance of `ConversationChain`.
- The `my_conversation` method now takes `openai_api_key` as an argument and uses it to initialize the `llm` instance of `OpenAI`.
- The `build` method simply delegates the `openai_api_key` argument to the `my_conversation` method and returns the resulting `ConversationChain` instance.

src/backend/langflow/utils/constants.py

@@ -56,19 +56,17 @@ from langchain.memory import ConversationBufferMemory
 
 
 class MyPythonClass:
-    def my_conversation(self):
+    def my_conversation(self, openai_api_key):
         llm = OpenAI(
-            openai_api_key='',
+            openai_api_key=openai_api_key,
             temperature=0
         )
         return ConversationChain(
             llm=llm, verbose=True, memory=ConversationBufferMemory()
         )
 
-    def build(self, my_custom_input: str) -> ConversationChain:
+    def build(self, openai_api_key: str) -> ConversationChain:
-        conversation = self.my_conversation()
+        return self.my_conversation(openai_api_key)
-        
-        return conversation
 """
 
 DIRECT_TYPES = ["str", "bool", "code", "int", "float", "Any", "prompt"]