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import gradio as gr | |
from transformers import pipeline | |
def analyser_sentiment_camembert(tweet): | |
# charger le modèle | |
sentiment_pipeline = pipeline("sentiment-analysis", model="cmarkea/distilcamembert-base-sentiment") | |
# appliquer le modèle | |
result = sentiment_pipeline(tweet)[0]['label'] | |
return result | |
interface2 = gr.Interface( | |
fn = analyser_sentiment_camembert, | |
inputs=gr.Textbox(lines=3, placeholder="Entrez un tweet en français ici..."), | |
outputs=gr.Textbox(label='Output'), | |
title="Analyse de Sentiment de Tweets", | |
description="Entrez un tweet en français pour obtenir son sentiment." | |
) | |
# lancer l'interface | |
interface2.launch() | |