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import gradio as gr |
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from transformers import pipeline |
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model = pipeline("text-classification", |
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model="CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment") |
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from fastapi import FastAPI |
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from pydantic import BaseModel |
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app = FastAPI() |
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class Item(BaseModel): |
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data: list |
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@app.post("/predict") |
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def predict(item: Item): |
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text = item.data[0] |
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result = analyze(text) |
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return {"data": [result]} |
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def analyze(text): |
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if not text.strip(): |
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return "الرجاء إدخال نص للتحليل" |
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result = model(text)[0] |
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return f"المشاعر: {result['label']}, الثقة: {result['score']:.2%}" |
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gr.Interface( |
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fn=analyze, |
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inputs=gr.Textbox(label="أدخل النص العربي"), |
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outputs=gr.Textbox(label="النتيجة"), |
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title="محلل المشاعر العربي" |
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).launch() |
