Update

app.py

@@ -4,6 +4,20 @@ import requests
 import inspect
 import pandas as pd
 
+from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
+import os
+
+try:
+    from smolagents import OpenAIServerModel, DuckDuckGoSearchTool, CodeAgent, WikipediaSearchTool, InferenceClientModel
+except ImportError as e:
+    from smolagents import OpenAIServerModel, CodeAgent, WikipediaSearchTool, InferenceClientModel
+    DuckDuckGoSearchTool = None
+    print(f"Warning: DuckDuckGoSearchTool unavailable ({e}). Install ddgs with `pip install ddgs`.")
+
+api_key = os.getenv("HF_TOKEN")
+
+
+
 # (Keep Constants as is)
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
@@ -12,13 +26,25 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
 class BasicAgent:
     def __init__(self):
+        openAI_model = OpenAIServerModel(model_id="gpt-4.1-mini", api_key="sk-proj--7IsHGYQG_dTB1Q9_wA")
+        tools = [WikipediaSearchTool()]
+        if DuckDuckGoSearchTool is not None:
+            tools.insert(0, DuckDuckGoSearchTool())
+
+        self.agent = CodeAgent(
+            model = openAI_model,
+            tools = tools,
+            add_base_tools = True,
+        )
         print("BasicAgent initialized.")
     def __call__(self, question: str) -> str:
         print(f"Agent received question (first 50 chars): {question[:50]}...")
-        fixed_answer = "This is a default answer."
+        # fixed_answer = "This is a default answer."
+        fixed_answer = self.agent.run(question)
         print(f"Agent returning fixed answer: {fixed_answer}")
         return fixed_answer
 
+
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """
     Fetches all questions, runs the BasicAgent on them, submits all answers,
@@ -81,6 +107,8 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
             continue
         try:
             submitted_answer = agent(question_text)
+            if not isinstance(submitted_answer, str):
+                submitted_answer = str(submitted_answer)
             answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
             results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": submitted_answer})
         except Exception as e:
@@ -146,11 +174,9 @@ 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).