app.py

'''
import gradio as gr

def ask(txt):
    print("Asked!")
    return "Fun", "Times"

desc = "Description"
article_text = "Article Text!"

with gr.Blocks(title=desc, 
               description=desc, 
               article=article_text,
               allow_flagging="manual",
               flagging_options=["Innacurate", "Off Topic"],
               flagging_dir="flags",
               flagging_callback=gr.SimpleCSVLogger(),
               analytics_enabled=True
               ) as demo:
    gr.Markdown(
    """
    # Maryland Kids Law!
    Start typing below to see the output.
    """)
    txt = gr.Textbox(label="Ask your question:", lines=5, placeholder="Is it ok to punch a kid?")
    txt_2 = gr.Textbox(value="Your Question will appear here.", label="Output", lines=5)
    txt_3 = gr.Textbox(value="The references cited to answer your question will appear here.", label="References", lines=5)
    btn = gr.Button(value="Ask!")
    btn.click(ask, inputs=txt, outputs=[txt_2, txt_3])
    gr.examples=[
        ["What a beautiful morning for a walk!"],
        ["It was the best of times, it was the worst of times."]
    ]
    gr.HTML("hello world!")
demo.launch()
'''

import gradio as gr
def image_classifier(inp):
    return {'cat': 0.3, 'dog': 0.7}
demo = gr.Interface(fn=image_classifier, inputs="image", outputs="label",
                    flagging_callback=gr.SimpleCSVLogger())