app.py

import gradio as gr
import torch
from transformers import pipeline

model_id = "SABR22/food_models"
pipe = pipeline("image-classification", model="Shresthadev403/food-image-classification")

def classify_food(image):
    image = pipe(image)
    return image[0]['label']

interface = gr.Interface(
    fn=classify_food,
    inputs=gr.Image(type="pil"),
    outputs=gr.Textbox(),
    title="Food Image Classification",
    description="Upload a food image and the model will classify it."
)

interface.launch()