final assignment gaia agent tools v0

agents/gaia.py

@@ -1,10 +1,42 @@
-# --- Basic Agent Definition ---
+# --- Gaia Agent Definition ---
+from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel
+from tools.gaiatool import fetch_questions
+
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
-class BasicAgent:
+# (Keep Constants as is)
+# --- Constants ---
+DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
+
+api_url = DEFAULT_API_URL
+
+class GaiaAgent:
     def __init__(self):
-        print("BasicAgent initialized.")
+        print("GaiaAgent initialized.")
+
+        self.questions_url = f"{api_url}/questions"
+
+        # Initialize the model
+        self.model = HfApiModel()
+
+        # Initialize the DuckDuckGo search tool
+        self.search_tool = DuckDuckGoSearchTool(
+            name="DuckDuckGoSearch",
+            description="Use this tool to search the web using DuckDuckGo.",
+            model=self.model,
+        )
+
+        self.agent = CodeAgent(
+            model=self.model,
+            tools=[self.search_tool],
+        )
+
+        self.questions_data = fetch_questions(self.questions_url)
+
+    def get_questions(self):
+        return self.questions_data
+
     def __call__(self, question: str) -> str:
         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
+        answer = self.agent.run(self.questions_data)
+        print(f"Agent returning fixed answer: {answer}")
+        return answer

app.py

@@ -3,17 +3,14 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
-from agents.gaia import BasicAgent
+from agents.gaia import GaiaAgent
 
 # (Keep Constants as is)
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
-    """
-    Fetches all questions, runs the BasicAgent on them, submits all answers,
-    and displays the results.
-    """
+
     # --- Determine HF Space Runtime URL and Repo URL ---
     space_id = os.getenv("SPACE_ID") # Get the SPACE_ID for sending link to the code
 
@@ -24,45 +21,25 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
         print("User not logged in.")
         return "Please Login to Hugging Face with the button.", None
 
-    api_url = DEFAULT_API_URL
-    questions_url = f"{api_url}/questions"
-    submit_url = f"{api_url}/submit"
+    submit_url = f"{DEFAULT_API_URL}/submit"
 
-    # 1. Instantiate Agent ( modify this part to create your agent)
+    # 1. Instantiate Agent
     try:
-        agent = BasicAgent()
+        agent = GaiaAgent()
     except Exception as e:
         print(f"Error instantiating agent: {e}")
         return f"Error initializing agent: {e}", None
+    
     # In the case of an app running as a hugging Face space, this link points toward your codebase ( usefull for others so please keep it public)
     agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"
     print(agent_code)
 
-    # 2. Fetch Questions
-    print(f"Fetching questions from: {questions_url}")
-    try:
-        response = requests.get(questions_url, timeout=15)
-        response.raise_for_status()
-        questions_data = response.json()
-        if not questions_data:
-             print("Fetched questions list is empty.")
-             return "Fetched questions list is empty or invalid format.", None
-        print(f"Fetched {len(questions_data)} questions.")
-    except requests.exceptions.RequestException as e:
-        print(f"Error fetching questions: {e}")
-        return f"Error fetching questions: {e}", None
-    except requests.exceptions.JSONDecodeError as e:
-         print(f"Error decoding JSON response from questions endpoint: {e}")
-         print(f"Response text: {response.text[:500]}")
-         return f"Error decoding server response for questions: {e}", None
-    except Exception as e:
-        print(f"An unexpected error occurred fetching questions: {e}")
-        return f"An unexpected error occurred fetching questions: {e}", None
-
-    # 3. Run your Agent
+    # 2. Run your Agent
     results_log = []
     answers_payload = []
+    questions_data = agent.get_questions()
     print(f"Running agent on {len(questions_data)} questions...")
+    
     for item in questions_data:
         task_id = item.get("task_id")
         question_text = item.get("question")
@@ -169,10 +146,10 @@ with gr.Blocks() as demo:
 if __name__ == "__main__":
     print("\n" + "-"*30 + " App Starting " + "-"*30)
     # Check for SPACE_HOST and SPACE_ID at startup for information
-    #space_host_startup = "https://agents-course-unit4-scoring.hf.space" #os.getenv("SPACE_HOST")
-    #space_id_startup = "avfranco/final_assignment_template" #os.getenv("SPACE_ID") # Get SPACE_ID at startup
-    space_host_startup = os.getenv("SPACE_HOST")
-    space_id_startup = os.getenv("SPACE_ID") # Get SPACE_ID at startup
+    space_host_startup = "https://avfranco-final-assignment-template.hf.space" #os.getenv("SPACE_HOST")
+    space_id_startup = "avfranco/final_assignment_template" #os.getenv("SPACE_ID") # Get SPACE_ID at startup
+    #space_host_startup = os.getenv("SPACE_HOST")
+    #space_id_startup = os.getenv("SPACE_ID") # Get SPACE_ID at startup
 
     if space_host_startup:
         print(f"✅ SPACE_HOST found: {space_host_startup}")

tools/gaiatool.py

@@ -0,0 +1,33 @@
+from smolagents import tool
+import requests
+
+# (Keep Constants as is)
+# --- Constants ---
+DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
+
+def fetch_questions(questions_url: str) -> list:
+    """
+    Fetches all questions, runs the BasicAgent on them, submits all answers,
+    and displays the results.
+    """
+
+    try:
+        response = requests.get(questions_url, timeout=15)
+        response.raise_for_status()
+        questions_data = response.json()
+        if not questions_data:
+             print("Fetched questions list is empty.")
+             return "Fetched questions list is empty or invalid format.", None
+        print(f"Fetched {len(questions_data)} questions.")
+    except requests.exceptions.RequestException as e:
+        print(f"Error fetching questions: {e}")
+        return f"Error fetching questions: {e}", None
+    except requests.exceptions.JSONDecodeError as e:
+         print(f"Error decoding JSON response from questions endpoint: {e}")
+         print(f"Response text: {response.text[:500]}")
+         return f"Error decoding server response for questions: {e}", None
+    except Exception as e:
+        print(f"An unexpected error occurred fetching questions: {e}")
+        return f"An unexpected error occurred fetching questions: {e}", None
+
+    return questions_data