Update dataframe and json

app.py

@@ -48,33 +48,27 @@ model = torch.hub.load('ultralytics/yolov5', 'custom', path='best.pt', force_rel
 #model = torch.hub.load('path/to/yolov5', 'custom', path='/content/yolov56.pt', source='local')  # local repo
 
 def listJSON(a,b,c,d):
-      try:
-        strlist =[] 
-        strlist.append(a)
-        strlist.append(b)
-        strlist.append(c) 
-        if d =='Pelicano\nSp':
-          strlist.append('Pelicano')
-        else:
-          strlist.append(d)
-        json_string = json.dumps(strlist)
-        return json_string
-      except Exception as e:
-        logging.error(e, exc_info=True)
+      strlist =[] 
+      strlist.append(a)
+      strlist.append(b)
+      strlist.append(c) 
+      if d =='Pelicano\nSp':
+        strlist.append('Pelicano')
+      else:
+        strlist.append(d)
+      json_string = json.dumps(strlist)
+      return json_string
 
 def arrayLista(a,b):
-      try:
-        strlist =[{}]*1
-        strlist[0] = set()
-        strlist[0].add(a)
-        if b =='Pelicano\nSp':
-          strlist[0].add('Pelicano')
-        else:
-          strlist[0].add(b)
-        df = pd.DataFrame(strlist,columns=['Especie','Cantidad'])
-        return df
-      except Exception as e:
-        logging.error(e, exc_info=True)
+      strlist =[{}]*1
+      strlist[0] = set()
+      strlist[0].add(a)
+      if b =='Pelicano\nSp':
+        strlist[0].add('Pelicano')
+      else:
+        strlist[0].add(b)
+      df = pd.DataFrame(strlist,columns=['Especie','Cantidad'])
+      return df
 
 def yolo(size, iou, conf, im):
     try: