Update app.py
Browse files
app.py
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@@ -1,11 +1,11 @@
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import gradio as gr
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from transformers import pipeline
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#
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model_name = "Abduuu/ArabReview-Sentiment"
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sentiment_pipeline = pipeline("text-classification", model=model_name, tokenizer=model_name)
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# Define label mapping (
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label_mapping = {
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"LABEL_0": "سلبي",
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"LABEL_1": "إيجابي",
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"Positive": "إيجابي"
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}
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# Function to predict sentiment
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def predict_sentiment(review):
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result = sentiment_pipeline(review)[0]
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sentiment_label = label_mapping.get(result["label"],
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confidence =
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return
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"التصنيف": sentiment_label,
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"نسبة الثقة": f"{confidence}%",
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}
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# Define Gradio interface
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with gr.Blocks(theme=gr.themes.Default()) as iface:
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gr.Markdown("<h1 style='text-align: center;'>🍽️ تحليل مشاعر مراجعات المطاعم 🚀</h1>")
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gr.Markdown(
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"<p style='text-align: center;'> 🤖 أدخل مراجعة مطعم بالعربية، وسيقوم النموذج بتحليل المشاعر وتحديدها **إيجابية** أو **سلبية**.</p>"
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)
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with gr.Row():
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review_input = gr.Textbox(
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label="✍️ أدخل مراجعتك",
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placeholder="اكتب مراجعتك هنا...",
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lines=2
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)
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submit_button = gr.Button("🔍 تحليل المراجعة")
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# Launch the app with public sharing enabled
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if __name__ == "__main__":
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iface.launch(share=True)
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import gradio as gr
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from transformers import pipeline
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# Load the sentiment analysis model
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model_name = "Abduuu/ArabReview-Sentiment"
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sentiment_pipeline = pipeline("text-classification", model=model_name, tokenizer=model_name)
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# Define label mapping (handling both possible label formats)
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label_mapping = {
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"LABEL_0": "سلبي",
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"LABEL_1": "إيجابي",
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"Positive": "إيجابي"
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}
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# Function to predict sentiment
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def predict_sentiment(review):
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result = sentiment_pipeline(review)[0]
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sentiment_label = label_mapping.get(result["label"], "غير معروف") # Handle unexpected labels
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confidence = f"{(result['score'] * 100):.2f}%"
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return sentiment_label, confidence # Return as separate values
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# Define Gradio interface
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with gr.Blocks(theme=gr.themes.Default()) as iface:
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gr.Markdown("<h1 style='text-align: center;'>🍽️ تحليل مشاعر مراجعات المطاعم 🚀</h1>")
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gr.Markdown("<p style='text-align: center;'> 🤖 أدخل مراجعة مطعم بالعربية، وسيقوم النموذج بتحليل المشاعر.</p>")
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with gr.Row():
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review_input = gr.Textbox(label="✍️ أدخل مراجعتك", placeholder="اكتب مراجعتك هنا...", lines=2)
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submit_button = gr.Button("🔍 تحليل المراجعة")
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# Launch the app with public sharing enabled
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if __name__ == "__main__":
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iface.launch(share=True)
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