Test app fetching questions

agent.py

@@ -23,8 +23,8 @@ from supabase import create_client, Client
 
 load_dotenv()
 
-os.environ["TAVILY_API_KEY"] = os.environ.get("TAVILY_API_KEY")
-os.environ["GOOGLE_API_KEY"] = os.environ.get("GOOGLE_API_KEY")
+# os.environ["TAVILY_API_KEY"] = os.environ.get("TAVILY_API_KEY")
+# os.environ["GOOGLE_API_KEY"] = os.environ.get("GOOGLE_API_KEY")
 
 __embeddings = HuggingFaceEmbeddings(
     model_name="sentence-transformers/all-mpnet-base-v2",
@@ -207,8 +207,8 @@ def build_graph():
 
 # Test
 if __name__ == "__main__":
-    # question = "When was a picture of St. Thomas Aquinas first added to the Wikipedia page on the Principle of double effect?"
-    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 = "When was a picture of St. Thomas Aquinas first added to the Wikipedia page on the Principle of double effect?"
+    # 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."
     graph = build_graph()
     messages = [HumanMessage(content=question)]
     messages = graph.invoke({ "messages": messages })

app.py

@@ -3,8 +3,6 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
-from langchain_core.messages import HumanMessage
-from agent import build_graph
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -14,17 +12,12 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
 class BasicAgent:
     def __init__(self):
-        self.graph = build_graph()
         print("BasicAgent initialized.")
     def __call__(self, question: str) -> str:
-        messages = [HumanMessage(content=question)]
-        messages = self.graph.invoke({ "messages": messages })
-        answer = messages['messages'][-1].content
-
-        # print(f"Agent received question (first 50 chars): {question[:50]}...")
-        # fixed_answer = "This is a default answer."
-        # print(f"Agent returning fixed answer: {fixed_answer}")
-        return answer[14:]
+        print(f"Agent received question (first 50 chars): {question[:50]}...")
+        fixed_answer = "This is a default answer."
+        print(f"Agent returning fixed answer: {fixed_answer}")
+        return fixed_answer
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """
@@ -153,11 +146,9 @@ with gr.Blocks() as demo:
     gr.Markdown(
         """
         **Instructions:**
-
         1.  Please clone this space, then modify the code to define your agent's logic, the tools, the necessary packages, etc ...
         2.  Log in to your Hugging Face account using the button below. This uses your HF username for submission.
         3.  Click 'Run Evaluation & Submit All Answers' to fetch questions, run your agent, submit answers, and see the score.
-
         ---
         **Disclaimers:**
         Once clicking on the "submit button, it can take quite some time ( this is the time for the agent to go through all the questions).