Initial commit

app.py

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+import gradio as gr
+from textblob import TextBlob
+
+
+def sentiment_analysis(text:str) -> dict:
+    """ 
+    Analyze the sentiment of the givwn text
+
+    Args:
+        txt (str): The text to analyze
+
+    Returns:
+        dict: A dictionary containing polarity, subjectivity, and assesment. 
+    """
+
+    blob = TextBlob(text)
+    sentiment = blob.sentiment
+
+    return {
+        "polarity": round(sentiment.polarity, 2),
+        "subjectivity": round(sentiment.subjectivity, 2),
+        "assessment": "positive" if sentiment.polarity > 0 else "negative" if sentiment.polarity < 0 else "neutral"
+    }
+
+# Create the Gradio interface
+demo = gr.Interface(
+    fn=sentiment_analysis,
+    inputs=gr.Textbox(placeholder="Enter Text to analyze..."),
+    outputs=gr.JSON(),
+    title="Text Sentiment Analaysis",
+    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