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sindhinltk/sentiment.py

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+from transformers import pipeline
+class SindhiSentiment:
+    def __init__(self):
+        # Neural Backbone: Multilingual Contextual Brain
+        self.classifier = pipeline('sentiment-analysis', model='tabularisai/multilingual-sentiment-analysis')
+    def analyze(self, text):
+        res = self.classifier(text)[0]
+        # Professional Label Mapping
+        m = {'LABEL_1': 'Positive', 'LABEL_0': 'Negative', 'LABEL_2': 'Neutral'}
+        return {'label': m.get(res['label'], res['label']), 'confidence': f"{round(res['score']*100, 2)}%"}