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from transformers import pipeline
from PIL import Image
import gradio as gr
import os
model_name = "larimei/food-classification-ai"
classifier = pipeline("image-classification", model=model_name)
def predict_image(image):
predictions = classifier(image)
return predictions[0]['label']
title = "Recipifier"
description = "blablabla"
example_list = [["examples/" + example] for example in os.listdir("examples")]
demo = gr.Interface(
fn=predict_image,
inputs=gr.Image(type="pil"),
outputs=[
gr.Textbox(label="Recipe")
],
examples=example_list,
title=title,
description=description,
)
demo.launch() |