init

app.py

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+# Hugging face spaces needs an app.py file to build the space
+# Hosted on https://huggingface.co/spaces/SurAyush/Sentiment-Ananlysis (git origin)
+
+import gradio as gr
+import json 
+from textblob import TextBlob
+
+# gradio function (proper docstring)
+def analyze_sentiment(text: str) -> dict:
+    """
+    Analyze the sentiment of the input text.
+    Args:
+        text (str): The input text to analyze.
+    Returns:
+        str: A JSON string containing polarity, subjectivity, and assessment
+    """
+
+    blob = TextBlob(text)
+    sentiment = blob.sentiment
+    result = {
+        "polarity": round(sentiment.polarity,2),
+        "subjectivity": round(sentiment.subjectivity,2),
+        "assessment": "positive" if sentiment.polarity > 0 else "negative" if sentiment.polarity < 0 else "neutral"
+    }
+
+    return json.dumps(result)
+
+
+demo = gr.Interface(
+    fn = analyze_sentiment,
+    inputs = gr.Textbox(label="Input Text", placeholder="Enter text to analyze sentiment..."),
+    outputs = gr.JSON(label="Sentiment Analysis Result"),
+    title="Text Sentiment Analysis",
+    description="Analyze the sentiment of text using TextBlob"
+)
+
+if __name__ == "__main__":
+    demo.launch(mcp_server=True)

requirements.txt

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+gradio[mcp]
+textblob