fix env

agent.py

@@ -1,5 +1,6 @@
 import os
 from typing import Annotated, Optional, TypedDict
+from dotenv import load_dotenv
 from langgraph.graph.message import add_messages
 from langchain_core.messages import AnyMessage, SystemMessage, HumanMessage
 from tool.files import read_file
@@ -10,7 +11,7 @@ from langgraph.prebuilt import ToolNode
 
 from tool.youtube import get_video_id, youtube_transcript
 
-
+load_dotenv()
 
 tools = [
             get_video_id,

app.py

@@ -10,6 +10,7 @@ from agent import Agent
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 DEFAULT_SPACE_ID = "yplam/Final_Assignment_Template"
 
+
 def download_file(filename: str) -> str:
     """
     Downloads a file from the API and returns the path to the local file.
@@ -166,7 +167,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
 
 
 def run_local_agent():
-    return run_all('yplam', False)
+    return run_all('yplam', True)
 
 
 def build_gradio_interface():
@@ -214,7 +215,6 @@ def run_fixed_agent():
 
 
 if __name__ == "__main__":
-    load_dotenv()
     print("\n" + "-"*30 + " App Starting " + "-"*30)
     # Check for SPACE_HOST and SPACE_ID at startup for information
     space_host_startup = os.getenv("SPACE_HOST")

requirements.txt

@@ -2,4 +2,7 @@ gradio
 requests
 langgraph
 langchain_openai
-python-dotenv
+langchain
+python-dotenv
+youtube_transcript_api
+pandas