Create app.py
Browse files
app.py
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import gradio as gr
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from transformers import pipeline
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# Load the sentiment analysis pipeline
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sentiment_pipeline = pipeline("sentiment-analysis")
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def analyze_sentiment(text):
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result = sentiment_pipeline(text)[0]
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label = result["label"]
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score = result["score"]
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return f"Sentiment: {label}\nConfidence: {score:.2f}"
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# Create the Gradio interface
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iface = gr.Interface(
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fn=analyze_sentiment,
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inputs=gr.Textbox(placeholder="Enter text to analyze..."),
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outputs=gr.Textbox(),
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title="Sentiment Analysis App",
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description="Enter a sentence to determine its sentiment (positive or negative).",
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examples=[
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["I love this product! It's amazing!"],
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["I am very disappointed with the service."]
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]
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)
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# Launch the app
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if __name__ == "__main__":
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iface.launch()
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