test

app.py

@@ -1,38 +0,0 @@
-import gradio as gr
-from textblob import TextBlob
-
-
-
-def sentiment_analysis(text: str) -> dict:
-    """
-    Analyze the sentiment of the given text.
-
-    Args:
-        text (str): The text to analyze
-
-    Returns:
-        dict: A dictionary containing polarity, subjectivity, and assessment
-
-    """
-    blob = TextBlob(text)
-    sentiment = blob.sentiment
-
-    return {
-        "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"
-    }
-
-
-# Create the Gradio interface
-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 text using TextBlob"
-)
-
-# Launch the interface and MCP server
-if __name__ == "__main__":
-    demo.launch(mcp_server=True)

requirements.txt

@@ -1,2 +0,0 @@
-gradio[mcp]
-textblob