二つ分にした

app.py

@@ -992,11 +992,8 @@ async def classify_image_llm(file: UploadFile = File(...)):
     return {"danger":danger_level}
 
 
-
-
-
 @app.post("/analyze")
-async def create_mask_sum2(image: UploadFile = File(...), 
+async def create_mask_sum3(image: UploadFile = File(...), 
     scene: str = Form(...),
     mode: str = Form(...),
     value: str = Form(...),
@@ -1036,6 +1033,32 @@ async def create_mask_sum2(image: UploadFile = File(...),
     return FileResponse(output_path)
 
 
+@app.post("/create-mask-and-inpaint-sum-llm-simple")
+async def create_mask_sum2(image: UploadFile = File(...), risk_level: int = Form(...),
+    x1: float = Form(...),
+    y1: float = Form(...),
+    x2: float = Form(...),
+    y2: float = Form(...),):
+    default_x = 0.001
+    default_y = 0.001
+
+
+    point1 = [default_x if math.isnan(x1) else x1, default_y if math.isnan(y1) else y1]
+
+    point2 = [default_x if math.isnan(x2) else x2, default_y if math.isnan(y2) else y2]
+    timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+    # 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 = llm_to_process_image_simple(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
+    inpaint_image_with_mask1(input_path, mask_path, output_path)
+
+    return FileResponse(output_path)
+
+
 #三浦と相談
 
 @app.post("/create-mask-and-inpaint-sum-llm-auto")