Update app.py

app.py

@@ -143,7 +143,46 @@ 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(
+    gr.Markdown(# ==========================================
+# SECTION 1: IMPORTS & TOOL DEFINITIONS
+# ==========================================
+from smolagents import CodeAgent, LiteLLMModel, tool
+import pandas as pd
+import requests
+from bs4 import BeautifulSoup
+
+# Paste your custom high-yield tools here
+@tool
+def inspect_dataframe(file_path: str, operation: str, query_code: str = None) -> str:
+    # (Your dataframe tool logic here...)
+    pass
+
+@tool
+def fetch_webpage_content(url: str) -> str:
+    # (Your scraper tool logic here...)
+    pass
+
+# ==========================================
+# SECTION 2: INITIALIZE THE INTENT ENGINE
+# ==========================================
+# Ensure you have set your HF_TOKEN secret in Space Settings!
+model = LiteLLMModel(model_id="huggingface/Qwen/Qwen2.5-Coder-32B-Instruct")
+
+# Instantiate your agent with the tools attached
+agent = CodeAgent(
+    tools=[inspect_dataframe, fetch_webpage_content],
+    model=model,
+    additional_authorized_imports=["pandas", "numpy", "json", "datetime", "re", "bs4"]
+)
+
+# ==========================================
+# SECTION 3: CONNECT TO THE TEMPLATE RUNNER
+# ==========================================
+# The original template space comes with a Gradio UI block or a loop 
+# that cycles through questions. Leave that layout block intact at the bottom.
+# Inside that function block where it evaluates user questions, change it to call your agent:
+# e.g., raw_output = agent.run(evaluation_question)
+
         """
         **Instructions:**
 
@@ -151,7 +190,6 @@ with gr.Blocks() as demo:
         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.