Update app.py

app.py

@@ -12,7 +12,7 @@ app = Flask(__name__)
 DETECTION_URL = "/v1/detect"
 
 
-@app.route('/')
+@app.route('/',methods=["POST"]))
 def predict():
     
     model = torch.hub.load('ultralytics/yolov5', 'custom', path='best2.pt', force_reload=True)  # force_reload to recache
@@ -27,7 +27,7 @@ def predict():
         img = Image.open(io.BytesIO(image_bytes))
 
         results = model(img, size=640)  # reduce size=320 for faster inference
-        return f"{results.pandas().xyxy[0].to_json(orient="records")}"
+        return results.pandas().xyxy[0].to_json(orient="records")
 
 
 if __name__ == "__main__":