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Update app.py
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app.py
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@@ -1,12 +1,12 @@
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from transformers import pipeline
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import gradio as gr
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classifier = pipeline("text-classification", model="tabularisai/multilingual-sentiment-analysis")
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#Load sentiment analysis pipeline
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# classifier_pipeline = pipeline("text-classification", model="tabularisai/multilingual-sentiment-analysis")
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# Define classification function
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def classify_text(text):
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output = classifier_pipeline(text)
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return output[0] # Extract the first result from the list
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from transformers import pipeline
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import gradio as gr
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#classifier = pipeline("text-classification", model="tabularisai/multilingual-sentiment-analysis")
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#Load sentiment analysis pipeline
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# classifier_pipeline = pipeline("text-classification", model="tabularisai/multilingual-sentiment-analysis")
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# Define classification function
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classifier_pipeline = ("sentiment-analysis")
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def classify_text(text):
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output = classifier_pipeline(text)
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return output[0] # Extract the first result from the list
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