app.py

import gradio as gr
import torch
from transformers import AutoImageProcessor, AutoModelForImageClassification

model_id = "microsoft/food101-resnet50"
processor = AutoImageProcessor.from_pretrained(model_id)
model = AutoModelForImageClassification.from_pretrained(model_id)

def classify_food(image):
    inputs = processor(images=image, return_tensors="pt")
    outputs = model(**inputs)
    logits = outputs.logits
    predicted_class_idx = logits.argmax(-1).item()
    return model.config.id2label[predicted_class_idx]

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()