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  1. app.py +35 -0
  2. requirements.txt +2 -0
app.py ADDED
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+ import gradio as gr
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+ from textblob import TextBlob
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+
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+ def sentiment_analysis(text: str) -> dict:
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+ """
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+ Analyze the sentiment of the given text.
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+
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+ Args:
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+ text (str): The text to analyze
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+
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+ Returns:
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+ dict: A dictionary containing polarity, subjectivity, and assessment
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+ """
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+ blob = TextBlob(text)
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+ sentiment = blob.sentiment
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+
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+ return {
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+ "polarity": round(sentiment.polarity, 2), # -1 (negative) to 1 (positive)
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+ "subjectivity": round(sentiment.subjectivity, 2), # 0 (objective) to 1 (subjective)
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+ "assessment": "positive" if sentiment.polarity > 0 else "negative" if sentiment.polarity < 0 else "neutral"
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+ }
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+
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+ # Create the Gradio interface
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+ demo = gr.Interface(
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+ fn=sentiment_analysis,
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+ inputs=gr.Textbox(placeholder="Enter text to analyze..."),
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+ outputs=gr.JSON(),
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+ title="Text Sentiment Analysis",
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+ description="Analyze the sentiment of text using TextBlob"
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+ )
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+
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+ # Launch the interface and MCP server
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+ if __name__ == "__main__":
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+ demo.launch(mcp_server=True)
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+
requirements.txt ADDED
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+ gradio[mcp]
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+ textblob