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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) |