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from transformers import ViTImageProcessor, ViTForImageClassification
import gradio as gr
from PIL import Image
import requests
processor = ViTImageProcessor.from_pretrained('google/vit-base-patch16-224')
model = ViTForImageClassification.from_pretrained('google/vit-base-patch16-224')
def predict(image) :
inputs = processor(images=image, return_tensors="pt")
outputs = model(**inputs)
logits = outputs.logits
# model predicts one of the 1000 ImageNet classes
predicted_class_idx = logits.argmax(-1).item()
return model.config.id2label[predicted_class_idx]
gradio_app = gr.Interface(
predict,
inputs=gr.Image(label="Select image for classification", sources=['upload', 'webcam'], type="pil"),
outputs=gr.Textbox(),
title="Image Classification",
live=True,
allow_flagging="never",
)
gradio_app.launch() |