Initial commit

app.py

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+import gradio as gr
+import json
+from textblob import TextBlob
+
+def sentiment_analysis(text: str) -> str:
+    """
+    Analyze the sentiment for the given text
+
+    Args: text (str): The text to analyze
+
+    Returns: 
+    str: A Json string containing polarity, subjectivity, and sentiment
+
+    """
+    blob=TextBlob(text)
+    sentiment=blob.sentiment
+
+    result = {
+        "polarity" : round(sentiment.polarity, 2),
+        "subjectivity" : round(sentiment.subjectivity, 2),
+        "sentiment" : "positive" if sentiment.polarity > 0 else "negative" if sentiment.polarity <0 else "neutral"
+    }
+    return json.dumps(result)
+
+
+#Create the Gradio interface
+demo=gr.Interface(
+    fn=sentiment_analysis,
+    inputs=gr.Textbox(lines=10, placeholder="Enter your text here..."),
+    outputs=gr.Textbox(),
+    title="Sentiment Analysis",
+    description="Anlayzes the sentiment of the text using TextBlob"
+)
+
+if __name__ == "__main__":
+    demo.launch(mcp_server=True)
+    

requirements.txt

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+gradio[mcp]
+textblob