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| # Importing some modules | |
| import gradio as gr | |
| from transformers import pipeline | |
| # Loading in the model | |
| MODEL = pipeline('image-classification', model='nateraw/vit-age-classifier', device=-1) | |
| # Main function to classify image | |
| def classify_image(image, top_k): | |
| # Getting the classification result | |
| classification_result = MODEL(image) | |
| # Reformating the classification result into a dictionary | |
| classification_result = {result['label']: result['score'] for result in classification_result[:int(top_k)]} | |
| # Add some text comment to it lol | |
| comment = text_comment(list(classification_result.keys())[0]) | |
| # Returning the classification result | |
| return classification_result, comment | |
| # Snarky comment based on age | |
| def text_comment(pred_class): | |
| match pred_class: | |
| case "3-9": | |
| return "Lost your way to the playground?" | |
| case "10-19": | |
| return "But Mom, I'm not a kid anymore!" | |
| case "20-29": | |
| return "You're in your prime!" | |
| case "30-39": | |
| return "Oof, watch out for those wrinkles!" | |
| case "40-49": | |
| return "You're still young at heart!" | |
| case "50-59": | |
| return "Retirement is just around the corner!" | |
| case "60-69": | |
| return "You're a senior citizen now!" | |
| case "more than 70": | |
| return "Hey Siri, play 'My Way' by Frank Sinatra" | |
| if __name__ == "__main__": | |
| # Creating the Gradio interface | |
| with gr.Blocks() as demo: | |
| gr.Markdown(""" | |
| # I will guess your age based on your picture! | |
| --- | |
| Totally not creepy, I promise :) | |
| <br>Made by [Dennis Jonathan](dennisjooo.github.io). A project for REA Mastering AI course. | |
| Age guessing model from [nateraw/vit-age-classifier](https://huggingface.co/nateraw/vit-age-classifier) | |
| """) | |
| with gr.Row(equal_height=True): | |
| with gr.Column(): | |
| # Creating the input block | |
| image = gr.Image(label="Upload a picture of yourself", type="pil", scale=2) | |
| # Creating the example block | |
| gr.Examples(examples=[ | |
| "./images/andrew.jpg", | |
| "./images/feifei.jpg", | |
| "./images/geoff.jpg", | |
| "./images/ilya.jpg", | |
| "./images/karpathy.jpg", | |
| "./images/lex.jpg" | |
| ], inputs=[image], label="Or choose an example") | |
| with gr.Column(): | |
| # Getting the top k hyperparameter | |
| top_k = gr.Number(label="How many guesses do I get?", value=1) | |
| # Creating the output block | |
| label = gr.Label(label="Hey it's me, your age!") | |
| comment = gr.Textbox(label="Based on your age, I think you are...", | |
| placeholder="I'm still learning, so I might be wrong!") | |
| with gr.Row(): | |
| # Submit button | |
| btn = gr.Button("Beep boop, guess my age!") | |
| btn.click(classify_image, inputs=[image, top_k], outputs=[label, comment]) | |
| # Clear button | |
| clear = gr.Button("Poof begone!") | |
| clear.click(lambda: [None, None, None], inputs=[], outputs=[image, label, comment]) | |
| # Launching the interface | |
| demo.launch(share=False, debug=True) |