Update app.py

app.py

@@ -283,35 +283,6 @@ def llm_to_process_image_simple(risk_level, image_path, point1, point2, threshol
     return save_dir + debug_image_path
 
 
-# ObjectDetector と WebScraper は非同期対応が必要です。
-# 仮のクラス定義（実際のあなたのクラスに置き換えてください）
-class ObjectDetector:
-    def __init__(self, API_KEY):
-        self.API_KEY = API_KEY
-        self.prompt_objects = []
-        self.text = ""
-
-    async def detect_auto(self, image_path):
-        print(f"Detecting objects automatically for {image_path}")
-        await asyncio.sleep(0.1) # 非同期処理のシミュレーション
-        return {"objects_to_remove": ["人", "車"]} # 例の戻り値
-
-    async def detect_objects(self, image_path):
-        print(f"Detecting specific objects for {image_path}")
-        await asyncio.sleep(0.1) # 非同期処理のシミュレーション
-        return [
-            {'box_2d': [0.1, 0.1, 0.3, 0.3]}, # 例のバウンディングボックス (y1, x1, y2, x2)
-            {'box_2d': [0.5, 0.5, 0.7, 0.7]}
-        ]
-
-class WebScraper:
-    def __init__(self, headless):
-        self.headless = headless
-
-    async def get_processed_documents(self, search_query, num_search_results):
-        print(f"Scraping for: {search_query}")
-        await asyncio.sleep(0.1) # 非同期処理のシミュレーション
-        return {"cleaned_html_content": "個人情報漏洩に関するクリーンなコンテンツの例。"}
 
 async def llm_to_process_image_simple_auto(risk_level, image_path, point1, point2, thresholds=None):
     print(f"リスクレベル: {risk_level}, 画像パス: {image_path}, point1: {point1}, point2: {point2}, しきい値: {thresholds}")
@@ -1065,7 +1036,7 @@ async def create_mask_sum_auto(image: UploadFile = File(...), risk_level: int =
     # 一意な識別子を生成
     unique_id = uuid.uuid4().hex
     input_path = save_image(image.file, f"./input_{timestamp}_{unique_id}.jpg")
-    mask_path,response = llm_to_process_image_simple_auto(risk_level, input_path, point1, point2,thresholds=thresholds)
+    mask_path,response =await llm_to_process_image_simple_auto(risk_level, input_path, point1, point2,thresholds=thresholds)
     output_path = f"./output_simple_lama_{timestamp}_{unique_id}.jpg"
     print('point1,point2',point1,point2)#消去したくない範囲のこと
     # OpenCVでインペイント