Uploading our food not food classifier demo from a notebook!

app.py

@@ -1,11 +1,11 @@
-# 1. Import the required libraries
+# 1. Importamos las librerías necesarias
 import torch
 import gradio as gr
 
 from typing import Dict
 from transformers import pipeline
 
-# 2. Define our function to use with our model
+# 2. Deifnimos nuestra función para usar el modelo
 food_not_food_classifier = pipeline(task="text-classification",
                                     model="tonicanada/learn_hf_food_not_food_text_classifier-distilbert-base-uncased",
                                     top_k=1,