feat: add json with the questions

agents/search_agent.py

@@ -2,6 +2,8 @@ from graphs.evaluation import build_workflow
 from langchain_core.messages import HumanMessage, SystemMessage
 from langfuse.callback import CallbackHandler
 from dotenv import load_dotenv
+import json
+
 load_dotenv()
 langfuse_handler = CallbackHandler(host="https://cloud.langfuse.com")
 
@@ -25,19 +27,4 @@ class SearchAgent:
         }, config={"callbacks": [langfuse_handler]})
         
         return state["answer"]
-    
-if __name__ == "__main__":
-    #question = "In the video https://www.youtube.com/watch?v=L1vXCYZAYYM, what is the highest number of bird species to be on camera simultaneously?"
-    #question = """How many studio albums were published by Mercedes Sosa between 2000 and 2009 (included)? You can use the latest 2022 version of english wikipedia."""
-    #question = """Examine the video at https://www.youtube.com/watch?v=1htKBjuUWec.
-    task_id = "f918266a-b3e0-4914-865d-4faa564f1aef"
-    question_text = "What is the final numeric output from the attached Python code?"
-    file_url = f"https://agents-course-unit4-scoring.hf.space/files/{task_id}"
-    question_with_file_info = f"For this task there is file available, with name {task_id}, download it from {file_url}\n\n{question_text}"
-    
-    
-#What does Teal'c say in response to the question "Isn't that hot?"""
-    agent = SearchAgent()
-    submit_answer = agent(question_with_file_info)
-    
-    print(submit_answer)
+    

app.py

@@ -42,9 +42,8 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     print(f"Fetching questions from questions.json")
     try:
         with open("questions.json", "r") as file:
-            d = json.load(file)
+            questions_data = json.load(file)
         
-        questions_data = d.get("questions", [])
         if not questions_data:
              print("Fetched questions list is empty.")
              return "Fetched questions list is empty or invalid format.", None