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Create app.py
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app.py
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import gradio as gr
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from transformers import pipeline
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# Load the pre-trained sentiment analysis model
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sentiment_analysis = pipeline("sentiment-analysis")
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# Define the function for sentiment prediction
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def predict_sentiment(text):
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result = sentiment_analysis(text)
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return result[0]['label']
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# Create the Gradio interface
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iface = gr.Interface(fn=predict_sentiment, inputs="text", outputs="text",
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title="Sentiment Analyser",
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description="Here's a demo SA.",)
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# Launch the app
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iface.launch(share=True)
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