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Update app.py
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app.py
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@@ -1,6 +1,5 @@
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import json
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import gradio as gr
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from gradio_mcp import enable_mcp
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from textblob import TextBlob
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def sentiment_analysis(text: str) -> str:
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@@ -17,8 +16,8 @@ def sentiment_analysis(text: str) -> str:
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sentiment = blob.sentiment
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result = {
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"polarity": round(sentiment.polarity, 2),
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"subjectivity": round(sentiment.subjectivity, 2),
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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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@@ -33,29 +32,11 @@ demo = gr.Interface(
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description="Analyze the sentiment of text using TextBlob"
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)
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#
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mcp_server = enable_mcp(
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demo,
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tool_config={
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"sentiment_analysis": {
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"description": "Analyze the sentiment of the given text. Returns polarity (-1 to 1), subjectivity (0 to 1), and overall assessment (positive/negative/neutral).",
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"parameters": {
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"type": "object",
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"properties": {
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"text": {
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"type": "string",
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"description": "The text to analyze for sentiment"
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}
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},
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"required": ["text"]
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}
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}
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}
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)
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# Launch the interface
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if __name__ == "__main__":
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demo.launch(
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server_name="0.0.0.0",
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server_port=7860
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)
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import json
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import gradio as gr
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from textblob import TextBlob
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def sentiment_analysis(text: str) -> str:
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sentiment = blob.sentiment
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result = {
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"polarity": round(sentiment.polarity, 2),
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"subjectivity": round(sentiment.subjectivity, 2),
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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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description="Analyze the sentiment of text using TextBlob"
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)
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# Launch with MCP server
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if __name__ == "__main__":
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demo.launch(
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server_name="0.0.0.0",
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server_port=7860,
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mcp_server=True,
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debug=True # 디버그 모드 활성화
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)
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