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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) |