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Andrew LimYH
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Parent(s):
88a8f53
commit app and requirement
Browse files- app.py +38 -0
- requirements.txt +3 -0
app.py
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import gradio as gr
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from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
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def vader_sentiment_analysis(text: str) -> dict:
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"""Perform sentiment analysis on the input text.
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Args:
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text (str): The input text to analyze.
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Returns:
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dict: A dictionary containing the polarity, subjectivity and assessment of the text.
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"""
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analyzer = SentimentIntensityAnalyzer()
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sentiment = analyzer.polarity_scores(text)
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return {"Polarity": round(sentiment["compound"], 2),
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"Subjectivity": round(sentiment["neu"], 2),
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"Assessment": "Positive" if sentiment["compound"] > 0 else "Negative" if sentiment["compound"] < 0 else "Neutral"}
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examples = [
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["AI technology is causing students to get lazy"],
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["AI technology is transforming the world positively"],
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]
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demo = gr.Interface(
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fn=vader_sentiment_analysis,
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inputs=gr.Textbox(lines=2, placeholder="Enter text here..."),
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outputs=gr.JSON(),
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examples=examples,
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title="Sentiment Analysis",
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description="Enter text to analyze its sentiment. \nThe output will show the polarity, subjectivity, and overall assessment of the text.",
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theme="default"
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)
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if __name__ == "__main__":
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demo.launch(mcp_server=True)
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requirements.txt
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gradio[mcp]
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textblob
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vaderSentiment
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