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import gradio as gr |
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from transformers import pipeline |
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deployed_repo_id = "maryaa4/my-arabic-sentiment-model" |
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loaded_sentiment_pipeline = pipeline('sentiment-analysis', model=deployed_repo_id, trust_remote_code=True) |
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def predict_sentiment(text): |
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if not text: |
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return "Please enter some text for sentiment analysis." |
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result = loaded_sentiment_pipeline(text) |
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label = result[0]['label'] |
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score = result[0]['score'] |
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return f"Sentiment: {label.capitalize()}, Confidence: {score:.4f}" |
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iface = gr.Interface( |
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fn=predict_sentiment, |
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inputs=gr.Textbox(lines=5, placeholder="أدخل النص العربي هنا..."), |
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outputs="text", |
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title="Arabic Sentiment Analysis", |
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description=f"A sentiment analysis model for Arabic text, deployed from maryaa4/my-arabic-sentiment-model. Enter Arabic text and get the predicted sentiment." |
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) |
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iface.launch(share=True) |
