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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() |