EmotioNL / app.py
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Update app.py
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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()