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Upload app.py

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Added app.py file to run Image Captioning AI application

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  1. app.py +41 -0
app.py ADDED
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+
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+ from PIL import ImageChops
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+ from transformers import VisionEncoderDecoderModel, ViTFeatureExtractor, PreTrainedTokenizerFast
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+ import requests
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+
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+ model = VisionEncoderDecoderModel.from_pretrained("zaynnissan/VitGPT2")
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+ vit_feature_extractor = ViTFeatureExtractor.from_pretrained("google/vit-base-patch16-224-in21k")
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+ tokenizer = PreTrainedTokenizerFast.from_pretrained("distilgpt2")
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+
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+ def VitGPT2(img):
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+ pixel_values = vit_feature_extractor(images=img, return_tensors="pt").pixel_values
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+ encoder_outputs = model.generate(pixel_values.to('çpu'),num_beams=5)
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+ generated_sentences = tokenizer.batch_decode(encoder_outputs, skip_special_tokens =True)
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+
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+ return(generated_sentences[0].split('.')[0])
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+
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+ import gradio as gr
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+
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+ inputs = [
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+ gr.inputs.Image(type="pil", label = "Original Image")
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+ ]
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+
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+ outputs = [
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+ gr.outputs.Textbox(label = 'Caption')
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+ ]
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+ title = "Image Captioning using Vision Transformer and GPT-2"
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+ description = "Developed by Zayn"
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+ article = "< a href='https://huggingface.co/'>Hugging Face AI Community</a>"
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+ examples = [
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+ ["car.jpg"]
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+ ]
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+ gr.Interfacce(
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+ VitGPT2,
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+ inputs,
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+ outputs,
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+ title = title,
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+ description = description,
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+ article = article,
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+ examples = examples,
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+ theme = "huggingface",
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+ ).launch(debug=True,enable_queue=True)