Update app.py

app.py

@@ -1,30 +1,34 @@
 import gradio as gr
+from textblob import TextBlob
 
-def letter_counter(word: str, letter: str) -> int:
+def sentiment_analysis(text: str) -> dict:
     """
-    Count the number of occurrences of a letter in a word or text.
+    Analyze the sentiment of the given text.
 
     Args:
-        word (str): The input text to search through
-        letter (str): The letter to search for
+        text (str): The text to analyze
 
     Returns:
-        int: The number of times the letter appears in the text
+        dict: A dictionary containing polarity, subjectivity, and assessment
     """
-    word = word.lower()
-    letter = letter.lower()
-    count = word.count(letter)
-    return count
+    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 a standard Gradio interface
+# Create the Gradio interface
 demo = gr.Interface(
-    fn=letter_counter,
-    inputs=["textbox", "textbox"],
-    outputs="number",
-    title="Letter Counter",
-    description="Enter text and a letter to count how many times the letter appears in the text."
+    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 both the Gradio web interface and the MCP server
+# Launch the interface and MCP server
 if __name__ == "__main__":
     demo.launch(mcp_server=True)