import gradio as gr

def what_happened(text, file_object, option_list):
    if file_object:
        output = "You uploaded a file."
        if len(option_list) > 0:
            output = output + "\nYou selected these options:\n- " + "\n- ".join(option_list)
    else:
        output = "Normally, this demo should analyse the emotions in this text:\n" + text
        if len(option_list) > 0:
            output = output + "\nYou can only select options when uploading a dataset."
    return output

def what_happened1(text):
    output = "Normally, this demo should analyse the emotions in this text:\n" + text
    return output

def what_happened2(file_object, option_list):
    if file_object:
        output = "You uploaded a file."
        if len(option_list) > 0:
            output = output + "\nYou selected these options:\n- " + "\n- ".join(option_list)
    else:
        output = "You should upload a file."
    return output
    

iface0 = gr.Interface(
            fn=what_happened,
            inputs=[
                gr.Textbox(
                    label= "Enter a sentence",
                    lines=1,
                    value="Your name"),
                gr.File(
                    label="Or upload a dataset"),
                gr.CheckboxGroup(
                    ["emotion frequencies", "emotion distribution over time", "peaks", "topics"],
                    label = "Select options")
                   ],
            outputs="text")

iface1 = gr.Interface(
            fn=what_happened1,
                gr.Textbox(
                    label= "Enter a sentence",
                    lines=1,
                    value="Your name")
            outputs="text")

iface2 = gr.Interface(
            fn=what_happened2,
            inputs=[
                gr.File(
                    label="Upload a dataset"),
                gr.CheckboxGroup(
                    ["emotion frequencies", "emotion distribution over time", "peaks", "topics"],
                    label = "Select options")
                   ],
            outputs="text")

iface = gr.TabbedInterface([iface1, iface2], ["Sentence", "Dataset"])

iface.launch()