Update app.py

app.py

@@ -1,14 +1,15 @@
 import os
 import re
-import json
 import gradio as gr
 import requests
 import pandas as pd
-from urllib.parse import quote
 from bs4 import BeautifulSoup
-from dotenv import load_dotenv
 
-load_dotenv()
+try:
+    from dotenv import load_dotenv
+    load_dotenv()
+except ImportError:
+    pass  # .env not loaded; use os.getenv (e.g. HF Secrets)
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -312,17 +313,12 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
 
 # --- Build Gradio Interface using Blocks ---
 with gr.Blocks() as demo:
-    gr.Markdown("# Basic Agent Evaluation Runner")
+    gr.Markdown("# ReAct Agent Evaluation Runner")
     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).
-        This space provides a basic setup and is intentionally sub-optimal to encourage you to develop your own, more robust solution. For instance for the delay process of the submit button, a solution could be to cache the answers and submit in a seperate action or even to answer the questions in async.
+        **Multi-step ReAct agent:** Plan → Act (tools) → Observe → Reflect. The agent has access to:
+        **DuckDuckGo search**, **web page view**, and **code agent** (safe Python). Set `HF_TOKEN` in Secrets (or .env) to enable the LLM.
+        1. Log in with the button below. 2. Click 'Run Evaluation & Submit All Answers'. Submission can take a while while the agent runs on all questions.
         """
     )