samueldomdey's picture
Create app.py
a72b0a2
# imports
from transformers import pipeline
import gradio as gr
# define nlp mask
model = "siebert/sentiment-roberta-large-english"
nlp = pipeline(model=model) # set device=0 to use GPU (CPU default, -1)
# Inference
def inference(sentence):
preds = nlp(sentence)
pred_sentiment = preds[0]["label"]
pred_score = preds[0]["score"]
return pred_sentiment, pred_score
# launch app
gr.Interface(inference,
inputs=[gr.inputs.Textbox(label="Sentiment to predict", default="I love this!")],
outputs=[gr.outputs.Textbox(type="auto", label="Predicted sentiment"),
gr.outputs.Textbox(type="auto", label="Predicted score")],
description="Sentiment analysis",
allow_flagging=False,
).launch(debug=True)