app.py

import gradio as gr

description = "Classificador de sentimento (Positivo, Negativo) de textos de avaliações de filmes"
examples = [
            ["It was Epic no doubt every character was well utilised well introduced thank you Marvel Studios for this Epic Movie"], 
            [" The pacing was terrible with most of the action scenes being not only already in the trailers but over before you can actually enjoy them. The dialog was bland boring and downright embarrassing. The back and forth between Eddie and venom was like a neanderthal talking to a 10 year old."],
            ["Peaky Blinders is a tale that is extremely loosely based on an actual English gang in the 19th century. It's a story about anti-heroes, characters who you'd despise in real life, but who also generate feelings of sympathy from the audience. It's such a well made show, very engaging, and there's just something so special about it that makes it irresistible. I even tried to lose interest at one point, but found myself longing for more, I had to continue. And Cillian Murphy just kills it. He has proven he is lead-character worthy. Do yourself a favor and give this show a chance. It's well deserving of that."],
            ["Quit it! Quit remaking EVERYTHING over and over again. Try and find new, original ideas and make movies from those. I for one am done with Disney as a whole. No more Disney movies for me, which will be hard I suppose since they are buying everyone else in the industry. But I shall remain strong. The last movie from their Borg Like Collective I watched was Captain Marvel. Haven't watched one since and won't pay a dime to see them in the theater. Might see them on Netflix or something If I'm drunk enough. But otherwise not happening."]           
        ]

gr.Interface.load("models/lucasgbezerra/classification_text_model",  description=description, examples=examples).launch()