app.py and dependencies

app.py

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+import json
+import gradio as gr
+from textblob import TextBlob
+
+def sentiment_analysis(text: str) -> str:
+    '''
+    Analyse the sentiment of the given text
+
+    Args:
+        text (str): The text to analyse
+
+    Returns:
+        str: A JSON string containing polarity, subjectivity, and assessment
+    '''
+    blob = TextBlob(text)
+    sentiment = blob.sentiment
+    
+    result = {
+        'polarity': round(sentiment.polarity, 2), # -1 (negative) to 1 (positive)
+        'subjectivity': round(sentiment.subjectivity, 2), # 0 (objective) to 1 (subjective)
+        'assessment': 'positive' if sentiment.polarity > 0 else 'negative' if sentiment.polarity < 0 else 'neutral'
+    }
+
+    return json.dumps(result)
+
+# Gradio interface
+demo = gr.Interface(
+    fn = sentiment_analysis,
+    inputs = gr.Textbox(placeholder = 'Enter text to analyse...'),
+    outputs = gr.Textbox(),  # Changed from gr.JSON() to gr.Textbox()
+    title = 'Text Sentiment Analysis',
+    description = 'Analyse the sentiment of text using TextBlob'
+)
+
+# Launch the interface and MCP server
+if __name__ == '__main__':
+    demo.launch(mcp_server = True)

requirements.txt

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+gradio[mcp]
+textblob