Update app.py

app.py

@@ -7,7 +7,7 @@ import operator
 from langchain_core.messages import BaseMessage, HumanMessage
 from langchain.agents import AgentExecutor
 from langchain_experimental.tools import PythonREPLTool
-from langchain_community.tools.Youtube import YouTubeSearchTool # THIS IS THE CORRECTED LINE
+from langchain_community.tools.Youtube import YouTubeSearchTool
 from langchain_community.tools.tavily_search import TavilySearchResults
 from langchain_openai import ChatOpenAI
 from langgraph.graph import StateGraph, END
@@ -15,32 +15,32 @@ from langgraph.prebuilt import ToolNode, tools_condition
 
 # --- Main Application Logic ---
 
-# Agent's memory
+# Agentin muisti
 class AgentState(TypedDict):
     messages: Annotated[Sequence[BaseMessage], operator.add]
 
-# Agent builder function
+# Agentin rakentajafunktio
 def create_langgraph_agent():
     print("Initializing Advanced LangGraph Agent...")
     
-    # 1. Language Model (GPT-4o is the best choice)
+    # 1. Kielimalli (GPT-4o on paras valinta)
     llm = ChatOpenAI(model="gpt-4o", temperature=0)
     
-    # 2. Tools: Tavily, PythonREPL, and YouTube
+    # 2. Työkalut: Tavily, PythonREPL ja YouTube
     tools = [TavilySearchResults(max_results=3), PythonREPLTool(), YouTubeSearchTool()]
     llm_with_tools = llm.bind_tools(tools)
     print("LLM and tools initialized.")
 
-    # 3. Agent node (calls the language model)
+    # 3. Agentin solmu (kutsuu kielimallia)
     def agent_node(state):
         print("Calling agent node...")
         return {"messages": [llm_with_tools.invoke(state["messages"])]}
     
-    # 4. Tool node
+    # 4. Työkalusolmu
     tool_node = ToolNode(tools)
     print("Graph nodes defined.")
 
-    # 5. Graph definition
+    # 5. Graafin määritys
     graph = StateGraph(AgentState)
     graph.add_node("agent", agent_node)
     graph.add_node("tools", tool_node)
@@ -48,12 +48,12 @@ def create_langgraph_agent():
     graph.add_conditional_edges("agent", tools_condition)
     graph.add_edge("tools", "agent")
 
-    # 6. Compile graph and set safety limit
+    # 6. Graafin kääntäminen ja turvarajan asettaminen
     app = graph.compile(recursion_limit=15)
     print("LangGraph agent compiled and ready.")
     return app
 
-# Agent execution function
+# Agentin suoritusfunktio
 def run_agent(agent_executor, question: str) -> str:
     print(f"Agent received question: {question}")
     final_answer = ""
@@ -74,7 +74,7 @@ def run_agent(agent_executor, question: str) -> str:
     print(f"Agent returning answer: {final_answer}")
     return str(final_answer)
 
-# Evaluation runner
+# Evaluaation ajaminen
 def run_and_submit_all(profile: gr.OAuthProfile | None):
     space_id = os.getenv("SPACE_ID")
     if not profile:
@@ -122,9 +122,9 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
     except Exception as e:
         return f"Error during submission: {e}", pd.DataFrame(answers_payload)
 
-# Gradio Interface
+# Gradio-käyttöliittymä
 with gr.Blocks() as demo:
-    gr.Markdown("# Agent Evaluation Runner (Advanced Tools)")
+    gr.Markdown("# Agent Evaluation Runner (Advanced Tools - Corrected)")
     gr.LoginButton()
     run_button = gr.Button("Run Evaluation & Submit All Answers")
     status_output = gr.Textbox(label="Run Status / Submission Result", lines=5, interactive=False)