Update app.py

app.py

@@ -6,7 +6,7 @@ import re
 from huggingface_hub import InferenceClient
 
 # ===============================
-# Constants (不要改)
+# Constants
 # ===============================
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
@@ -16,175 +16,15 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 class BasicAgent:
     """
     Minimal GAIA Level-1 agent.
-    Goal: >=30% (>=6/20 exact match)
+    Target: >=30% exact match
     """
 
     def __init__(self):
         print("BasicAgent initialized (PASS MODE).")
 
-        # 必須在 Space → Settings → Secrets 設定 HF_TOKEN
+        # 必須在 Space → Settings → Secrets 設定
         self.hf_token = os.getenv("HF_TOKEN") or os.getenv("HUGGINGFACEHUB_API_TOKEN")
         if not self.hf_token:
             raise RuntimeError("HF_TOKEN missing. Set it in Space Settings → Secrets.")
 
-        # 可在 Space Variables 改模型，不用動 code
-        self.model_id = os.getenv("MODEL_ID", "Qwen/Qwen2.5-7B-Instruct")
-
-        # ⚠️ 一定要用 router（避免 410）
-        self.client = InferenceClient(
-            model=self.model_id,
-            token=self.hf_token,
-            base_url="https://router.huggingface.co",
-            timeout=120,
-        )
-
-        # 超嚴格 system prompt（EXACT MATCH 核心）
-        self.system = (
-            "You answer questions with EXACT MATCH.\n"
-            "Return ONLY the final answer.\n"
-            "No explanation.\n"
-            "No extra words.\n"
-            "No punctuation unless required.\n"
-            "No quotes.\n"
-            "If the answer is a name, output the name only.\n"
-            "If the answer is a number or date, output it exactly.\n"
-        )
-
-    def _sanitize(self, text: str) -> str:
-        if not text:
-            return ""
-
-        t = str(text).strip()
-
-        # 移除常見前綴
-        t = re.sub(r"(?i)final answer\s*[:\-]*", "", t)
-        t = re.sub(r"(?i)answer\s*[:\-]*", "", t)
-
-        # 只留最後一行
-        lines = [ln.strip() for ln in t.splitlines() if ln.strip()]
-        if lines:
-            t = lines[-1]
-
-        # 去掉引號
-        t = t.strip().strip('"').strip("'")
-
-        # 🔥 關鍵：移除句尾標點（GAIA 最常死在這）
-        t = re.sub(r"[.,;:!?]$", "", t)
-
-        return t
-
-    def __call__(self, question: str) -> str:
-        print(f"Q: {question[:60]}")
-
-        prompt = f"{self.system}\nQuestion: {question}\nAnswer:"
-
-        try:
-            out = self.client.text_generation(
-                prompt,
-                max_new_tokens=64,
-                temperature=0.0,
-                do_sample=False,
-                return_full_text=False,
-            )
-        except Exception:
-            # fallback（保險）
-            out = self.client.chat_completion(
-                messages=[
-                    {"role": "system", "content": self.system},
-                    {"role": "user", "content": question},
-                ],
-                max_tokens=64,
-                temperature=0.0,
-            ).choices[0].message.content
-
-        ans = self._sanitize(out)
-        print(f"A: {ans}")
-        return ans
-
-
-# ===============================
-# Run & Submit
-# ===============================
-def run_and_submit_all(profile: gr.OAuthProfile | None):
-
-    space_id = os.getenv("SPACE_ID")
-
-    if not profile:
-        return "Please login with Hugging Face.", None
-
-    username = profile.username
-    print(f"User: {username}")
-
-    questions_url = f"{DEFAULT_API_URL}/questions"
-    submit_url = f"{DEFAULT_API_URL}/submit"
-
-    try:
-        agent = BasicAgent()
-    except Exception as e:
-        return f"Agent init error: {e}", None
-
-    agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"
-
-    # Fetch questions
-    resp = requests.get(questions_url, timeout=20)
-    resp.raise_for_status()
-    questions = resp.json()
-
-    answers_payload = []
-    log_rows = []
-
-    for q in questions:
-        task_id = q["task_id"]
-        question = q["question"]
-        try:
-            ans = agent(question)
-        except Exception as e:
-            ans = ""
-            print("Agent error:", e)
-
-        answers_payload.append({
-            "task_id": task_id,
-            "submitted_answer": ans
-        })
-
-        log_rows.append({
-            "Task ID": task_id,
-            "Question": question,
-            "Submitted Answer": ans
-        })
-
-    submission = {
-        "username": username,
-        "agent_code": agent_code,
-        "answers": answers_payload
-    }
-
-    resp = requests.post(submit_url, json=submission, timeout=60)
-    resp.raise_for_status()
-    result = resp.json()
-
-    status = (
-        f"Submission Successful!\n"
-        f"User: {result.get('username')}\n"
-        f"Score: {result.get('score')}% "
-        f"({result.get('correct_count')}/{result.get('total_attempted')})\n"
-        f"{result.get('message')}"
-    )
-
-    return status, pd.DataFrame(log_rows)
-
-
-# ===============================
-# Gradio UI
-# ===============================
-with gr.Blocks() as demo:
-    gr.Markdown("# Basic Agent Evaluation Runner (PASS MODE)")
-    gr.LoginButton()
-    run_btn = gr.Button("Run Evaluation & Submit All Answers")
-    status = gr.Textbox(label="Result", lines=6)
-    table = gr.DataFrame(label="Answers", wrap=True)
-
-    run_btn.click(fn=run_and_submit_all, outputs=[status, table])
-
-if __name__ == "__main__":
-    demo.launch()
+        # 模型（可在 Variab