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Emotions-Analyser

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Emotions-Analyser / app.py

Update app.py

2afa359 almost 2 years ago

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	import gradio as gr
	from xlm_emo.classifier import EmotionClassifier

	io1 = 'huggingface/MilaNLProc/xlm-emo-t'

	def emotionClassifier(text):
	ec = EmotionClassifier()
	translation = ec.predict([text])
	res=translation[0]
	return res

	'''
	from transformers import AutoTokenizer, AutoModelForSequenceClassification
	tokenizer = AutoTokenizer.from_pretrained("MilaNLProc/xlm-emo-t")
	model = AutoModelForSequenceClassification.from_pretrained("MilaNLProc/xlm-emo-t")
	'''
	inputs = gr.inputs.Textbox(label="Text")
	outpts=gr.outputs.Textbox(label="Output")

	#gr.Interface(emotionClassifier, inputs=inputs,outputs=outpts, title='Emotions Analyser',theme='peach').launch()
	gr.Interface.load(io1, inputs=inputs, title="Emotions Analyser",theme='peach').launch(enable_queue=True)