Initial commit

app.py

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+import json
+import gradio as gr
+from textblobl import TextBlob
+
+def sentment_analysis(text:str) -> str:
+    """
+
+    Analyze the sentiment of given sentence or text.
+
+    Args:
+        text (str) : text to be analysed
+        
+    Returns:
+        str: A JSOn String containing polarity,subjectivity and assessment
+    """
+    
+    blob = TextBlob(text)
+    sentiment = blob.sentiment
+
+    result={
+        "plarity": round(sentiment.polarity, 2),
+        "subjectivity": round(sentiment.subjectivity, 2),
+        "assessment": "positive" if sentiment.positivity >0 else "negative" if sentiment.polarity <0 else "neutral"
+    }
+
+    return json.dumps(result)
+
+# create gradio interface
+demo = gr.Interface(
+    fn=sentiment_analysis,
+    inputs=gr.Textbox(placeholder="Enter text to analyze..."),
+    outputs=gr.textbox(),
+    title="Text Sentiment Analysis",
+    description="Analyze 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