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17e67db 7e9808a 17e67db 0b04b1a 17e67db d0c1ae2 17e67db 33f6a5a 17e67db 7a0c39e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | import gradio as gr
from transformers import pipeline
sentiment = pipeline("sentiment-analysis")
def get_sentiment(input_text):
return sentiment (input_text)
result = get_sentiment(" the movie was very bad")
result
[{'label': 'NEGATIVE', 'score': 0.9997990727424622}]
iface = gr.Interface(fn = get_sentiment, inputs = 'text', outputs = ['text'],title = 'Sentiment Analysis', description= 'get sentiment positive/negative')
iface.launch()
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