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Update 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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classifier = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")
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def predict(text):
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result = classifier(text)[0]
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return result["label"], round(result["score"], 3)
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app = gr.Interface(
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fn=predict,
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inputs=gr.Textbox(label="Enter text"),
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outputs=[gr.Text(label="Sentiment"), gr.Number(label="Confidence Score")]
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)
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import gradio as gr
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from transformers import pipeline
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# Load sentiment analysis pipeline
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classifier = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")
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# Define prediction function
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def predict(text):
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result = classifier(text)[0]
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return result["label"], round(result["score"], 3)
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# Create Gradio interface
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app = gr.Interface(
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fn=predict,
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inputs=gr.Textbox(label="Enter text"),
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outputs=[gr.Text(label="Sentiment"), gr.Number(label="Confidence Score")]
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)
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# 🚀 This is required in Spaces
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app.launch()
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