app.py

import gradio as gr
from transformers import AutoTokenizer, AutoModelForSequenceClassification
import torch

pretrained = "rohanphadke/roberta-finetuned-triplebottomline"
tokenizer = AutoTokenizer.from_pretrained(pretrained)
model = AutoModelForSequenceClassification.from_pretrained(pretrained)
threshold = 0.5

labels = {0: 'people', 1: 'planet', 2:'profit'}
return_labels = {'people': 0.25, 'planet':0.5, 'profit':0.75}

def greet(name):
    return "Hello " + name + "!!"

def predict_text(text):
    return return_labels

demo = gr.Interface(fn=predict_text, inputs="text", outputs="label")
demo.launch()