Auto-deploy from GitHub

README.md

@@ -1,14 +0,0 @@
----
-title: PreviDengueAPI
-repository: https://github.com/IonMateus/PreviDengue
-subdirectory: api/
-emoji: 🦟
-colorFrom: blue
-colorTo: green
-sdk: docker
-pinned: false
-license: mit
-short_description: 'Identificação de Focos e Surtos de Dengue'
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

api/app.py → app.py

@@ -23,7 +23,7 @@ predictor: DenguePredictor = None
 
 app = FastAPI()
 
-# --- Crie um evento de startup para carregar os modelos ---
+# --- evento de startup para carregar os modelos ---
 @app.on_event("startup")
 async def startup_event():
     global detector, predictor

api/detect.py → detect.py

@@ -17,10 +17,9 @@ class DengueDetector:
     def detect_image(self, image_bytes):
         # Carregar imagem da memória
         img = Image.open(BytesIO(image_bytes)).convert("RGB")
-        img_np = np.array(img)  # YOLO aceita np.array diretamente
+        img_np = np.array(img)  
         height, width = img_np.shape[:2]
 
-        # Detectar objetos
         results = self.model(img_np)
         result = results[0]
         boxes = result.boxes
@@ -29,7 +28,6 @@ class DengueDetector:
         class_names = [self.names[int(cls)] for cls in class_ids]
         counts = Counter(class_names)
 
-        # Construir lista de detecções
         detections = []
         for i in range(len(boxes)):
             x1, y1, x2, y2 = map(float, boxes.xyxy[i])