Add application file

app.py

@@ -0,0 +1,37 @@
+#python -m venv venv
+#source venv/Scripts/activate - for windows path file
+import gradio as gr
+from textblob import TextBlob
+
+#always use type hints, and provide Args: in order to help gradio
+#generate mcp documentation
+
+def sentiment_analysis(text: str) -> dict:
+    """Analyse the sentiment of the given text
+    
+    Args:
+        text (str): The text to analyse
+    
+    Returns:
+        dict: A dictionary containing polarity, subjectivity and assessment
+    """
+    blob = TextBlob(text)
+    sentiment = blob.sentiment
+    
+    return {
+        "polarity": round(sentiment.polarity, 2),
+        "subjectivity": round(sentiment.subjectivity, 2),
+        "assessment": "positive" if sentiment.polarity > 0 else "negative" if sentiment.polarity < 0 else "neutral"
+        }
+
+demo = gr.Interface(
+    fn=sentiment_analysis,
+    inputs=gr.Textbox(placeholder="Enter text to analyse.."),
+    outputs=gr.JSON(),
+    title="Text Sentiment Analysis",
+    description="Analyse the sentiment of text using TextBlob"
+)
+
+if __name__ == "__main__":
+    demo.launch(mcp_server=True)
+#need a write access token from hugging face in order to push to git, if you push to a gi repo rather than adding code in hugging face manually