initial commit

.python-version

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+3.13

main.py

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+from typing import Text
+import gradio as gr
+from gradio.components.textbox import Textbox
+from textblob import TextBlob
+from ntpath import sep
+
+def sentiment_analysis(text: str) -> dict:
+    """
+    Analyzes the sentiment of a given text.
+
+    Args:
+        text (str): The text to analyze.
+
+    Returns:
+        dict: A dictionary containing the sentiment polarity and subjectivity and assessment
+    """
+
+    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"
+    }
+
+demo = gr.Interface(
+    fn=sentiment_analysis,
+    inputs=gr.Textbox(placeholder="Enter text to analyze..."),
+    outputs=gr.JSON(),
+    title="Text Sentiment Analysis",
+    description="Analyze the sentiment of the est using TextBlob"
+)
+
+if __name__ == "__main__":
+    demo.launch(mcp_server=True)

pyproject.toml

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+[project]
+name = "mcp"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.13"
+dependencies = []