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copy of Amrrs
Browse fileshttps://huggingface.co/spaces/Amrrs/gradio-sentiment-analyzer/blob/main/app.py
app.py
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import gradio as gr
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from transformers import pipeline
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def
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if __name__ == "__main__":
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iface = gr.Interface(
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description = 'Get Sentiment Negative/positive for the given input',
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outputs="text"
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)
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iface.launch()
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import gradio as gr
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from transformers import pipeline
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sentiment = pipeline("sentiment-analysis")
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def get_sentiment(input_text):
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return sentiment(input_text)
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if __name__ == "__main__":
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iface = gr.Interface(
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inputs = "text",
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outputs = ['text'],
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title = 'Sentiment Analysis',
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description = 'Get Sentiment Negative/positive for the given input',
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)
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iface.launch(inline = False)
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