update

app.py

@@ -37,7 +37,10 @@ except Exception as e:
 # ==========================================
 # MODELS
 # ==========================================
-# (VerifyRequest biasa dihapus karena kita pakai Form Data + UploadFile)
+
+class VerifyRequest(BaseModel):
+    reference_image_url: HttpUrl
+    query_image_url: HttpUrl
 
 class VerifyResponse(BaseModel):
     is_match: bool
@@ -56,7 +59,7 @@ class ValidationResponse(BaseModel):
 # ==========================================
 def download_image(url: str) -> str:
     try:
-        response = requests.get(url, timeout=10)
+        response = requests.get(str(url), timeout=10)
         response.raise_for_status()
         unique_name = f"{uuid.uuid4().hex}.jpg"
         file_path = os.path.join(TEMP_DIR, unique_name)
@@ -79,10 +82,52 @@ def health_check():
     status = "ok" if face_app else "error"
     return {
         "status": status,
-        "message": "🚀 GawayKu Face Recognition API is running (v1.2 - Direct Upload)!",
+        "message": "🚀 GawayKu Face Recognition API is running (v1.3 - URL & Direct Upload)!",
         "model": "YOLOv8 + ArcFace (WideResNet-101-2)",
     }
 
+@app.post("/verify", response_model=VerifyResponse)
+async def verify(request: VerifyRequest):
+    """
+    Membandingkan Wajah Referensi (URL) vs Wajah Query (URL).
+    Cocok untuk skenario dimana foto sudah diupload ke Cloudinary/Storage.
+    """
+    if not face_app:
+        raise HTTPException(status_code=503, detail="Model belum siap")
+
+    start_time = time.time()
+    path_ref = None
+    path_query = None
+
+    try:
+        # 1. Download Both Images
+        path_ref = download_image(request.reference_image_url)
+        path_query = download_image(request.query_image_url)
+
+        # 2. Compare (Path vs Path)
+        similarity, is_same = face_app.compare(path_ref, path_query)
+        
+        exec_time = time.time() - start_time
+
+        return {
+            "is_match": bool(is_same),
+            "similarity_score": round(float(similarity), 4),
+            "execution_time": round(exec_time, 4),
+            "error": None
+        }
+
+    except Exception as e:
+        exec_time = time.time() - start_time
+        return {
+            "is_match": False,
+            "similarity_score": 0.0,
+            "execution_time": round(exec_time, 4),
+            "error": str(e)
+        }
+    finally:
+        clear_temp_file(path_ref)
+        clear_temp_file(path_query)
+
 @app.post("/verify-file", response_model=VerifyResponse)
 async def verify_file(
     reference_image_url: str = Form(...),