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from transformers import pipeline
import gradio as gr
model_checkpoint = "MuntasirHossain/RoBERTa-base-finetuned-emotion"
model = pipeline("text-classification", model=model_checkpoint)
def classify(text):
label = model(text)[0]["label"]
return label
description = "This AI model is trained to classify texts expressing human emotion into different categories."
title = "Xoxo's Texts Expressing Emotion"
examples = [["He is very happy Today",
"NOTE Free Palestien"]]
gr.Interface(fn=classify,
inputs="textbox",
outputs="text",
title=title,
theme="dark",
description=description,
examples=examples,
).launch()
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