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GullyDRS.LBW.Predictorapp

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Create src/app.py

2e6f78c verified over 1 year ago

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import gradio as gr
from transformers import pipeline

clf = pipeline("sentiment-analysis", model="./outputs")

def classify(text):
    return clf(text)[0]['label']

gr.Interface(fn=classify, inputs="text", outputs="text", title="Sentiment Classifier").launch()

	import gradio as gr
	from transformers import pipeline

	clf = pipeline("sentiment-analysis", model="./outputs")

	def classify(text):
	return clf(text)[0]['label']

	gr.Interface(fn=classify, inputs="text", outputs="text", title="Sentiment Classifier").launch()