Add tensorflow, keras, and mediapipe dependencies with auto-generation fallback in runner

requirements.txt

@@ -6,3 +6,6 @@ websockets>=11.0.3
 numpy>=1.24.0
 opencv-python-headless>=4.7.0.0
 pygame-ce>=2.3.0
+tensorflow
+keras
+mediapipe

runner.py

@@ -393,10 +393,47 @@ print(f"[Runner] 切換工作目錄至: {project_dir}")
 os.chdir(project_dir)
 sys.path.insert(0, project_dir)
 
+# 🚀 Auto-generate dummy keras_model.h5 and labels.txt if missing in a Keras project
+try:
+    script_content = open(project_path, "r", errors="ignore").read()
+    if "keras_model.h5" in script_content:
+        h5_path = os.path.join(project_dir, "keras_model.h5")
+        labels_path = os.path.join(project_dir, "labels.txt")
+        
+        if not os.path.exists(h5_path):
+            print("[Runner] 偵測到 Keras 專案且缺乏 keras_model.h5，嘗試自動生成隨機 Dummy 模型...")
+            try:
+                try:
+                    import keras
+                except ImportError:
+                    from tensorflow import keras
+                
+                model = keras.models.Sequential([
+                    keras.layers.Input(shape=(224, 224, 3)),
+                    keras.layers.Flatten(),
+                    keras.layers.Dense(3, activation='softmax')
+                ])
+                model.save(h5_path)
+                print("[Runner] 成功生成 dummy keras_model.h5")
+            except Exception as ex:
+                print(f"[Runner] 無法自動生成模型（可能是本地缺乏 tensorflow/keras 套件）：{ex}")
+                
+        if not os.path.exists(labels_path):
+            print("[Runner] 偵測到缺乏 labels.txt，自動生成預設分類標籤...")
+            try:
+                with open(labels_path, "w", encoding="utf-8") as f:
+                    f.write("0 背景\n1 喝水中\n2 其他動作\n")
+                print("[Runner] 成功生成 labels.txt")
+            except Exception as ex:
+                print(f"[Runner] 無法自動生成 labels.txt：{ex}")
+except Exception as e:
+    print(f"[Runner] 檢查/生成 Keras 依賴資源時出錯: {e}")
+
 try:
     print(f"[Runner] 開始執行學生專案: {os.path.basename(project_path)}")
     runpy.run_path(project_path, run_name='__main__')
 except SystemExit as e:
+
     print(f"[Runner] 專案正常結束 (SystemExit: {e})")
 except Exception as e:
     import traceback