initial commit

app.py

@@ -2,7 +2,9 @@ import os
 import gradio as gr
 import requests
 import inspect
+import time
 import pandas as pd
+from smolagents import CodeAgent, DuckDuckGoSearchTool, LiteLLMModel
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -11,10 +13,31 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 # --- Basic Agent Definition ---
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
 class BasicAgent:
+    agent: CodeAgent
+
     def __init__(self):
         print("BasicAgent initialized.")
+        # Instantiate the agent
+        # Initialize the search tool
+        api_key = os.getenv("GEMINI_API_KEY")
+        search_tool = DuckDuckGoSearchTool()
+        model = LiteLLMModel(
+            model_id="gemini/gemini-2.5-pro-preview-05-06",  # Or try other Ollama-supported models
+            api_Key=api_key,
+            num_ctx=8192,
+        )
+        self.agent = CodeAgent(
+            tools=[search_tool],
+            model=model,
+            max_steps=20,
+            verbosity_level=2
+        )
     def __call__(self, question: str) -> str:
         print(f"Agent received question (first 50 chars): {question[:50]}...")
+        response = self.agent.run("""
+        You are a general AI assistant. I will ask you a question. Report your thoughts, and finish your answer with the following template: FINAL ANSWER: [YOUR FINAL ANSWER]. YOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated list of numbers and/or strings. If you are asked for a number, don't use comma to write your number neither use units such as $ or percent sign unless specified otherwise. If you are asked for a string, don't use articles, neither abbreviations (e.g. for cities), and write the digits in plain text unless specified otherwise. If you are asked for a comma separated list, apply the above rules depending of whether the element to be put in the list is a number or a string.
+        """ + question)
+        print(response)
         fixed_answer = "This is a default answer."
         print(f"Agent returning fixed answer: {fixed_answer}")
         return fixed_answer
@@ -74,6 +97,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     answers_payload = []
     print(f"Running agent on {len(questions_data)} questions...")
     for item in questions_data:
+        time.sleep(3)
         task_id = item.get("task_id")
         question_text = item.get("question")
         if not task_id or question_text is None:
@@ -91,6 +115,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
         print("Agent did not produce any answers to submit.")
         return "Agent did not produce any answers to submit.", pd.DataFrame(results_log)
 
+    return "ok"
     # 4. Prepare Submission 
     submission_data = {"username": username.strip(), "agent_code": agent_code, "answers": answers_payload}
     status_update = f"Agent finished. Submitting {len(answers_payload)} answers for user '{username}'..."

requirements.txt

@@ -1,2 +1,7 @@
 gradio
-requests
+requests
+smolagents
+smolagents[litellm]
+smolagents[vision]
+gradio[oauth]
+itsdangerous