import gradio as gr
from transformers import pipeline

decade = pipeline(model="tonyassi/fashion-clothing-decade")

def greet(img):
    pred = decade(images=img)
    res = '#' + pred[0]['label']
    #res += pred[1]['label'] + ':' + str(pred[1]['score']) + '\n'
    #res += pred[2]['label'] + ':' + str(pred[2]['score'])
    return res

iface = gr.Interface(fn=greet,
                     title='Which Decade Are You From?',
                     description="""
by [Tony Assi](https://www.tonyassi.com/)
                     
This space uses the [fashion-clothing-decade](https://huggingface.co/tonyassi/fashion-clothing-decade) image classification model. Please ❤️ this Space.

I build custom AI apps for companies. <a href="mailto: tony.assi.media@gmail.com">Email me</a> for business inquiries.

![](https://cdn.discordapp.com/attachments/1120417968032063538/1184251611388850257/all.png?ex=658b4b42&is=6578d642&hm=6b853c5b1e92d07701496f5fcb3106c6cef15c66a1a238ceedb214b4d9348245&)
""",
                     inputs=gr.Image(type="pil"), 
                     outputs=gr.Markdown())
iface.launch()