Update app.py

app.py

@@ -2,36 +2,33 @@ import json
 import gradio as gr
 from textblob import TextBlob
 
-def sentiment_analysis(text: str) -> str:
+import gradio as gr
+
+def letter_counter(word: str, letter: str) -> int:
     """
-    Analyze the sentiment of the given text.
+    Count the number of occurrences of a letter in a word or text.
 
     Args:
-        text (str): The text to analyze
+        word (str): The input text to search through
+        letter (str): The letter to search for
 
     Returns:
-        str: A JSON string containing polarity, subjectivity, and assessment
+        int: The number of times the letter appears in the text
     """
-    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)
+    word = word.lower()
+    letter = letter.lower()
+    count = word.count(letter)
+    return count
 
-# Create the Gradio interface
+# Create a standard 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 text using TextBlob"
+    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."
 )
 
-# Launch the interface and MCP server
+# Launch both the Gradio web interface and the MCP server
 if __name__ == "__main__":
     demo.launch(mcp_server=True)