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Create app.py

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  1. app.py +20 -0
app.py ADDED
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+ # app.py — upload this file to your Hugging Face Space
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+ import gradio as gr
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+ from transformers import pipeline
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+
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+ model_name = "msfasha/distilbert-sentiment-imdb-small"
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+ classifier = pipeline("sentiment-analysis", model=model_name)
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+
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+ def predict_sentiment(text):
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+ result = classifier(text)[0]
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+ return f"Label: {result['label']}, Confidence: {round(result['score'], 3)}"
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+
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+ interface = gr.Interface(
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+ fn=predict_sentiment,
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+ inputs="text",
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+ outputs="text",
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+ title="Sentiment Analysis",
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+ description="Enter a movie review to classify as POSITIVE or NEGATIVE."
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+ )
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+
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+ interface.launch()