Spaces:
Sleeping
Sleeping
File size: 1,116 Bytes
bee5682 ce396c3 bee5682 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 |
from PIL import Image
from transformers import VisionEncoderDecoderModel , ViTFeatureExtractor , PreTrainedTokenizerFast
import gradio as gr
model = VisionEncoderDecoderModel.from_pretrained("ydshieh/vit-gpt2-coco-en")
vit_feature_extractor = ViTFeatureExtractor.from_pretrained("google/vit-base-patch32-224-in21k")
tokenizer = PreTrainedTokenizerFast.from_pretrained("distilgpt2")
def caption_images(image):
pixel_values = vit_feature_extractor(images=image,return_tensors="pt").pixel_values
encoder_outputs = model.generate(pixel_values.to('cpu'),num_beams=5)
generated_sentence = tokenizer.batch_decode(encoder_outputs,skip_special_tokens=True)
return (generated_sentence[0].strip())
inputs = [
gr.components.Image(type='pil',label='Original Image')
]
outputs = [
gr.components.Textbox(label='Caption')
]
title = "Simple Image captioning Application"
description = "Upload an image to see the caption generated"
example =['messi.jpg']
gr.Interface(
caption_images,
inputs,
outputs,
title=title,
description = description,
examples = example,
).launch(debug=True)
|