explain-LXMERT / app.py
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import gradio as gr
from generic import save_image_vis
def generate_viz(URL, question):
print(f"Input Image URL: {URL}")
print(f"Target Class: {question}")
oring, img, html_page, answer = save_image_vis(URL, question)
return answer, oring, img, html_page
title = "Explain LXMERT 🤯"
iface = gr.Interface(fn=generate_viz, inputs=[
gr.Text(label="Input Image URL"),
gr.Text(label="Input the Question"),
],
outputs=[gr.Text(label="Answer"),
gr.Image(label="Oringinal Image", width=450, height=300),
gr.Image(label="EXplain Image", width=450, height=300),
gr.HTML(label="Visualize Sentence Importance"), ],
title=title,
allow_flagging="never",
cache_examples=True,
examples=[
["./lxmert/experiments/paper/COCO_val2014_000000185590/COCO_val2014_000000185590.jpg", "is the animal eating?"],
["./lxmert/experiments/paper/COCO_val2014_000000127510/COCO_val2014_000000127510.jpg", "did he catch the ball?"],
["./lxmert/experiments/paper/COCO_val2014_000000324266/COCO_val2014_000000324266.jpg", "is the tub white ?"],
["./lxmert/experiments/paper/COCO_val2014_000000200717/COCO_val2014_000000200717.jpg", "did the man just catch the frisbee?"],
],
)
iface.launch(debug=True)