sentiment analysis

app.py

@@ -1,23 +1,34 @@
 import gradio as gr
+from textblob import TextBlob
+
+def sentiment_analysis(text: str) -> dict:
+    """
+    Analyze the sentiment of the given text.
 
-def letter_counter(word, letter):
-    """Count the occurrences of a specific letter in a word.
-    
     Args:
-        word: The word or phrase to analyze
-        letter: The letter to count occurrences of
-        
+        text (str): The text to analyze
+
     Returns:
-        The number of times the letter appears in the word
+        dict: A dictionary containing polarity, subjectivity, and assessment
     """
-    return word.lower().count(letter.lower())
+    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=letter_counter,
-    inputs=["text", "text"],
-    outputs="number",
-    title="Letter Counter",
-    description="Count how many times a letter appears in a word"
+    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"
 )
 
-demo.launch(mcp_server=True)
+# Launch the interface and MCP server
+if __name__ == "__main__":
+    demo.launch(mcp_server=True)

requirements.txt

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