Create app.py

app.py

@@ -0,0 +1,47 @@
+import os
+import requests
+import gradio as gr
+from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel
+
+# 1. Initialize the search tool and model
+search_tool = DuckDuckGoSearchTool()
+model = HfApiModel(model_id="Qwen/Qwen2.5-Coder-32B-Instruct")
+
+agent = CodeAgent(
+    tools=[search_tool],
+    model=model,
+    additional_authorized_imports=["math", "re", "json", "datetime"]
+)
+
+def answer_question(question: str) -> str:
+    """Answers an evaluation question using the agent."""
+    prompt = (
+        f"Answer the following question precisely and concisely. "
+        f"Give only the factual answer without extra conversation or explanation:\n{question}"
+    )
+    try:
+        response = agent.run(prompt)
+        return str(response).strip()
+    except Exception as e:
+        return "N/A"
+
+def run_evaluation(profile: gr.OAuthProfile | None):
+    if profile is None:
+        return "Please sign in with Hugging Face first.", []
+
+    username = profile.username
+    agent_code_url = f"https://huggingface.co/spaces/{username}/Final_Assignment_Template/tree/main"
+    
+    base_url = "https://agents-course-unit4-evaluator.hf.space"
+    
+    # Fetch questions
+    try:
+        q_resp = requests.get(f"{base_url}/questions", timeout=30)
+        questions_data = q_resp.json()
+    except Exception as e:
+        return f"Failed to fetch questions: {e}", []
+
+    questions = questions_data if isinstance(questions_data, list) else questions_data.get("questions", [])
+    
+    answers = []
+    log_output = f"Running