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import gradio as gr |
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from transformers import pipeline |
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sentiment_pipeline == pipeline("sentiment-analysis", |
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model="AfroLogicInsect/sentiment-analysis-model") |
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def predict_sentiment(text): |
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if not text.strip(): |
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return "Please enter some text", 0.0 |
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result = sentiment_pipeline(text)[0] |
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label = "😊 Positive" if result['label'] == 'LABEL_1' else "😞 Negative" |
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return label, round(result['score'], 3) |
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iface = gr.Interface( |
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fn = predict_sentiment, |
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inputs=gr.Textbox(label="Enter text"), |
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outputs=[gr.Text(label="Sentiment"), |
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gr.Number(label="Confidence")] |
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) |
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iface.launch() |
