Update app.py

app.py

@@ -10,9 +10,8 @@ import re
 import requests
 import pandas as pd
 import gradio as gr
-import yaml
 
-from smolagents import CodeAgent, HfApiModel, tool
+from smolagents import CodeAgent, TransformersModel, tool
 
 # -------------------------
 # Minimal tools
@@ -40,16 +39,35 @@ def safe_calc(expr: str):
 
 @tool
 def calculator(expr: str) -> str:
-    """Safely evaluate a math expression."""
+    """
+    Safely evaluate a mathematical expression.
+
+    Args:
+        expr (str): Mathematical expression to evaluate, e.g., "2 + 2 * 3".
+
+    Returns:
+        str: JSON string with {"expression": expr, "result": value} 
+             or {"error": "..."} on failure.
+    """
     try:
         val = safe_calc(expr)
         return json.dumps({"expression": expr, "result": float(val)})
     except Exception as e:
         return json.dumps({"error": f"Calc error: {e}"})
 
+
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
-    """Get the current local time in a timezone."""
+    """
+    Get the current local time in a specified timezone.
+
+    Args:
+        timezone (str): A valid timezone string (e.g., "Europe/Paris").
+
+    Returns:
+        str: JSON string with {"timezone": timezone, "local_time": "..."} 
+             or {"error": "..."} on failure.
+    """
     try:
         tz = pytz.timezone(timezone)
         local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
@@ -57,24 +75,22 @@ def get_current_time_in_timezone(timezone: str) -> str:
     except Exception as e:
         return json.dumps({"error": f"Timezone error: {e}"})
 
+
 # -------------------------
 # Load prompts.yaml if exists
 # -------------------------
 prompt_templates = None
 try:
+    import yaml
     with open("prompts.yaml", "r") as fh:
         prompt_templates = yaml.safe_load(fh)
 except Exception:
     prompt_templates = None
 
 # -------------------------
-# HfApiModel + CodeAgent
+# TransformersModel + CodeAgent minimal
 # -------------------------
-model = HfApiModel(
-    model_id="HuggingFaceTB/SmolLM-135M-Instruct",
-    max_tokens=1024,
-    temperature=0.5
-)
+model = TransformersModel(model_id="HuggingFaceTB/SmolLM-135M-Instruct")
 
 code_agent = CodeAgent(
     model=model,
@@ -110,7 +126,10 @@ class GaiaAgentMinimal:
 
             # Time queries
             if self._is_time(q):
-                tz = "Europe/Paris" if "paris" in q.lower() or "france" in q.lower() else "UTC"
+                if "paris" in q.lower() or "france" in q.lower():
+                    tz = "Europe/Paris"
+                else:
+                    tz = "UTC"
                 return get_current_time_in_timezone(tz)
 
             # fallback LLM
@@ -124,6 +143,7 @@ class GaiaAgentMinimal:
         except Exception as e:
             return json.dumps({"error": f"Agent internal error: {e}"})
 
+# instantiate GAIA agent
 gaia_agent = GaiaAgentMinimal(code_agent)
 
 # -------------------------
@@ -133,13 +153,16 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
 def run_and_submit_all(profile: gr.OAuthProfile | None):
     space_id = os.getenv("SPACE_ID")
+
     if profile:
-        username = profile.username
+        username = f"{profile.username}"
     else:
         return "Please Login to Hugging Face with the button.", None
 
-    questions_url = f"{DEFAULT_API_URL}/questions"
-    submit_url = f"{DEFAULT_API_URL}/submit"
+    api_url = DEFAULT_API_URL
+    questions_url = f"{api_url}/questions"
+    submit_url = f"{api_url}/submit"
+
     agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main" if space_id else "unknown"
 
     # Fetch questions
@@ -153,7 +176,8 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
         return f"Error fetching questions: {e}", None
 
     # Run agent
-    results_log, answers_payload = [], []
+    results_log = []
+    answers_payload = []
     for item in questions_data:
         task_id = item.get("task_id")
         question_text = item.get("question")
@@ -171,6 +195,7 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
 
     submission_data = {"username": username.strip(), "agent_code": agent_code, "answers": answers_payload}
 
+    # Submit
     try:
         response = requests.post(submit_url, json=submission_data, timeout=60)
         response.raise_for_status()
@@ -182,20 +207,25 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
             f"({result_data.get('correct_count', '?')}/{result_data.get('total_attempted', '?')} correct)\n"
             f"Message: {result_data.get('message', 'No message received.')}"
         )
-        return final_status, pd.DataFrame(results_log)
+        results_df = pd.DataFrame(results_log)
+        return final_status, results_df
     except Exception as e:
-        return f"Submission failed: {e}", pd.DataFrame(results_log)
+        results_df = pd.DataFrame(results_log)
+        return f"Submission failed: {e}", results_df
 
 # -------------------------
 # Gradio UI
 # -------------------------
 with gr.Blocks() as demo:
     gr.Markdown("# Minimal GAIA Agent Runner")
-    gr.Markdown("Log in to Hugging Face, click 'Run Evaluation & Submit All Answers' to fetch questions, run the agent, and submit answers.")
+    gr.Markdown(
+        "Log in to Hugging Face, click 'Run Evaluation & Submit All Answers' to fetch questions, run the agent, and submit answers."
+    )
     gr.LoginButton()
     run_button = gr.Button("Run Evaluation & Submit All Answers")
     status_output = gr.Textbox(label="Run Status / Submission Result", lines=5, interactive=False)
     results_table = gr.DataFrame(label="Questions and Agent Answers", wrap=True)
+
     run_button.click(fn=run_and_submit_all, outputs=[status_output, results_table])
 
 if __name__ == "__main__":