import numpy as np
import gradio as gr
from transformers import AutoImageProcessor, AutoModelForImageClassification
from PIL import Image



processor = AutoImageProcessor.from_pretrained("Moreza009/HF_CVcourse_FoodClassifier")
model = AutoModelForImageClassification.from_pretrained("Moreza009/HF_CVcourse_FoodClassifier")

def classifier(image):
    image = Image.open(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]


food = gr.Interface(
    fn=classifier,
    inputs=gr.Image(),
    outputs="text",
    title = "what's your eating?",
    description = "A simple model for food classification"
)

food.launch()