Update json and size

app.py

@@ -53,20 +53,6 @@ region = os.environ['region']
 def removeStr(string): 
   return string.replace(" ", "")
 
-def qtyEspecies(datax, datay, resImg):
-  numLobos = 0
-  numPelicanos = 0
-  dfEspecies = pd.DataFrame(datax)
-  for i in range(0, dfEspecies['name'].size):
-    if(dfEspecies['class'][i] == 0):
-      numLobos= numLobos + 1
-    if(dfEspecies['class'][i] == 1):
-      numPelicanos= numPelicanos + 1
-  strlista = '"detail":[{"quantity":"'+str(numLobos)+'","description":"Lobo marino"},{"quantity":"'+str(numPelicanos)+'","description":"Pelicano"}]'
-  data = '{"image":"'+str(removeStr(datay[0:9]))+'","size":"'+str(removeStr(datay[11:18]))+'",'+strlista+','+resImg+'}'
-  json_data = json.loads(data)
-  return json_data
-
 def arrayLista(a,b,c,d):
   x = re.findall("obo Mar", b)
   y = re.findall("elica", b)
@@ -129,6 +115,21 @@ def upload_file(file_name, bucket=None, object_name=None):
     return False
   return stado
 
+def qtyEspecies(datax, datay, resImg):
+  numLobos = 0
+  numPelicanos = 0
+  dfEspecies = pd.DataFrame(datax)
+  for i in range(0, dfEspecies['name'].size):
+    if(dfEspecies['class'][i] == 0):
+      numLobos= numLobos + 1
+    if(dfEspecies['class'][i] == 1):
+      numPelicanos= numPelicanos + 1
+  strlista = '"detail":[{"quantity":"'+str(numLobos)+'","description":"Lobo marino"},{"quantity":"'+str(numPelicanos)+'","description":"Pelicano"}]'
+  data = '{"image":"'+str(removeStr(datay[0:9]))+'","size":"'+str(removeStr(datay[11:18]))+'",'+strlista+','+resImg+'}'
+  json_data = json.loads(data)
+  return json_data
+
+
 # Model
 model = torch.hub.load('ultralytics/yolov5', 'custom', path='best.pt', force_reload=True, autoshape=True)  # local model  o google colab