Initial commit

.gitignore

@@ -0,0 +1,4 @@
+venv
+env
+.venv
+.env

app.py

@@ -0,0 +1,40 @@
+import json
+import gradio as gr 
+from textblob import TextBlob
+
+
+
+def sentiment_analysis(text: str) -> str:
+    """
+    Analyze the sentiment of the given text.
+
+    Args:
+        text (str): The text to analyze
+
+    Returns:
+        str: A JSON string containing polarity, subjectivity, and assesment
+    """
+    blob = TextBlob(text)
+    sentiment = blob.sentiment
+    
+    result = {
+        "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"
+    }
+    
+    return json.dumps(result)
+
+# Create the Gradio interface
+demo = gr.Interface(
+    fn = sentiment_analysis,
+    inputs = gr.Textbox(placeholder="Enter text to analyze..."),
+    outputs = gr.Textbox(), # Changed from gr.JSON() to gr.Textbox()
+    title = "Text Sentiment Analysis",
+    description = "Analyze the sentiment of the text using TextBlob"
+)
+
+# Launch the interface and MCP server
+if __name__ == "__main__":
+    demo.launch(mcp_server=True)
+    

requirements.txt

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