MND_Tweet_Space / app.py
barbieheimer's picture
Update app.py
9b39b26
raw history blame
No virus
692 Bytes
# here are some examples for sadness, joy, anger, and optimism.
import gradio as gr
examples = [
["The movie was a bummer."],
["I cannot wait to watch all these movies!"],
["The ending of the movie really irks me, gives me the ick fr."],
["The protagonist seems to have a lot of hope...."]
]
# The UI is being generated here.
gradio_ui = gr.Interface(
fn=predict, # inserting the model here.
title="Sentiment Analysis", examples=examples,
inputs=gr.inputs.Textbox(lines=5, label="Paste an Article here."),
outputs=[gr.outputs.Textbox(label="Label"),gr.outputs.Textbox(label="Score"),],
)
gradio_ui.launch(share=True, debug=False) # launching the model.