Update app.py

app.py

@@ -4,60 +4,72 @@ import requests
 import pandas as pd
 from typing import Optional
 
-# 導入 smolagents 組件
-try:
-    from smolagents import CodeAgent, DuckDuckGoSearchTool
-except ImportError as e:
-    print(f"Warning: smolagents import failed: {e}")
-    DuckDuckGoSearchTool = None
-    CodeAgent = None
-
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
+HF_API_URL = "https://api-inference.huggingface.co/models"
 
 class BasicAgent:
     def __init__(self):
-        """初始化 Agent，帶有完整的錯誤處理"""
-        self.model_id = "Qwen/Qwen2.5-Coder-32B-Instruct"
-        self.agent = None
+        """用 HuggingFace Inference API（不佔用本地記憶體）"""
+        self.hf_token = os.getenv("HF_TOKEN")
+        self.model_name = "mistralai/Mistral-7B-Instruct-v0.1"
         
-        try:
-            if CodeAgent is None or DuckDuckGoSearchTool is None:
-                raise ImportError("smolagents not properly installed")
-            
-            # 初始化搜尋工具
-            search_tool = DuckDuckGoSearchTool()
-            
-            # 初始化 Agent
-            self.agent = CodeAgent(
-                tools=[search_tool],
-                model=self.model_id,
-                add_base_tools=True,
-                verbose=False,
-            )
-            print("✓ Agent initialized successfully.")
-        except Exception as e:
-            print(f"✗ Agent initialization error: {e}")
+        if not self.hf_token:
+            print("✗ HF_TOKEN not found in Secrets")
             self.agent = None
+            return
+        
+        self.agent_url = f"{HF_API_URL}/{self.model_name}"
+        print("✓ Agent initialized (using HF Inference API)")
 
     def __call__(self, question: str) -> str:
-        """執行 Agent 查詢"""
+        """透過 API 呼叫模型"""
         if self.agent is None:
-            return "Agent not initialized. Please check model loading."
+            return "HF_TOKEN not configured. Add it to Secrets."
         
         try:
-            result = self.agent.run(question)
-            return str(result).strip()
+            headers = {"Authorization": f"Bearer {self.hf_token}"}
+            
+            payload = {
+                "inputs": question,
+                "parameters": {
+                    "max_new_tokens": 256,
+                    "temperature": 0.7,
+                    "top_p": 0.9
+                }
+            }
+            
+            response = requests.post(
+                self.agent_url,
+                headers=headers,
+                json=payload,
+                timeout=60
+            )
+            
+            if response.status_code != 200:
+                return f"API error: {response.status_code}"
+            
+            result = response.json()
+            
+            # 解析回應
+            if isinstance(result, list) and len(result) > 0:
+                answer = result[0].get("generated_text", "")
+                # 去除問題部分
+                answer = answer.replace(question, "").strip()
+                return answer[:1000] if answer else "No answer"
+            
+            return "Invalid API response"
+            
+        except requests.exceptions.Timeout:
+            return "API request timeout"
         except Exception as e:
-            error_msg = f"Agent error: {str(e)[:200]}"
-            print(error_msg)
-            return "I am sorry, I cannot answer this right now."
+            print(f"Error: {e}")
+            return f"Error: {str(e)[:200]}"
 
 
 def run_and_submit_all(profile: Optional[gr.OAuthProfile] = None):
     """主要評估和提交函數"""
     
-    # 檢查登入狀態
     if profile is None:
         return "Please Login to Hugging Face with the button.", None
     
@@ -65,13 +77,12 @@ def run_and_submit_all(profile: Optional[gr.OAuthProfile] = None):
     space_id = os.getenv("SPACE_ID")
     
     if not space_id:
-        return "Error: SPACE_ID environment variable not set.", None
+        return "Error: SPACE_ID not set.", None
 
     api_url = DEFAULT_API_URL
     questions_url = f"{api_url}/questions"
     submit_url = f"{api_url}/submit"
 
-    # 初始化 Agent
     try:
         agent = BasicAgent()
     except Exception as e:
@@ -79,25 +90,21 @@ def run_and_submit_all(profile: Optional[gr.OAuthProfile] = None):
 
     agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"
 
-    # 獲取問題
     try:
         response = requests.get(questions_url, timeout=30)
         response.raise_for_status()
         questions_data = response.json()
-    except requests.exceptions.RequestException as e:
+    except Exception as e:
         return f"Error fetching questions: {str(e)[:200]}", None
-    except ValueError as e:
-        return f"Error parsing questions response: {str(e)[:200]}", None
 
     answers_payload = []
     results_log = []
 
-    # 逐個回答問題
     for idx, item in enumerate(questions_data):
         task_id = item.get("task_id")
         question_text = item.get("question")
         
-        print(f"Processing question {idx+1}/{len(questions_data)}: {task_id}")
+        print(f"[{idx+1}/{len(questions_data)}] Processing: {task_id}")
         
         try:
             submitted_answer = agent(question_text)
@@ -107,8 +114,8 @@ def run_and_submit_all(profile: Optional[gr.OAuthProfile] = None):
             })
             results_log.append({
                 "Task ID": task_id, 
-                "Question": question_text[:100],
-                "Submitted Answer": submitted_answer[:200]
+                "Question": question_text[:80],
+                "Answer": submitted_answer[:150]
             })
         except Exception as e:
             error_answer = f"Error: {str(e)[:100]}"
@@ -118,11 +125,10 @@ def run_and_submit_all(profile: Optional[gr.OAuthProfile] = None):
             })
             results_log.append({
                 "Task ID": task_id, 
-                "Question": question_text[:100],
-                "Submitted Answer": error_answer
+                "Question": question_text[:80],
+                "Answer": error_answer
             })
 
-    # 提交答案
     submission_data = {
         "username": username, 
         "agent_code": agent_code, 
@@ -138,10 +144,8 @@ def run_and_submit_all(profile: Optional[gr.OAuthProfile] = None):
         correct = result_data.get('correct_count', 0)
         total = result_data.get('total_attempted', 0)
         status_msg = f"Score: {score}% ({correct}/{total} correct)"
-    except requests.exceptions.RequestException as e:
+    except Exception as e:
         status_msg = f"Submission Failed: {str(e)[:200]}"
-    except ValueError as e:
-        status_msg = f"Submission response parsing error: {str(e)[:200]}"
 
     return status_msg, pd.DataFrame(results_log)
 
@@ -149,7 +153,7 @@ def run_and_submit_all(profile: Optional[gr.OAuthProfile] = None):
 # Gradio UI
 with gr.Blocks(title="Unit 4 Final Assignment") as demo:
     gr.Markdown("# Unit 4 Final Project: AI Agent")
-    gr.Markdown("_Click 'Login with Hugging Face' first, then click 'Run Evaluation & Submit All Answers'_")
+    gr.Markdown("_Click 'Login with Hugging Face' first, then 'Run Evaluation & Submit All Answers'_")
     
     with gr.Row():
         gr.LoginButton(scale=1)
@@ -160,7 +164,7 @@ with gr.Blocks(title="Unit 4 Final Assignment") as demo:
 
     run_button.click(
         fn=run_and_submit_all,
-        inputs=[],  # 自動取得 profile
+        inputs=[],
         outputs=[status_output, results_table]
     )