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# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb. | |
# %% auto 0 | |
__all__ = ['demo', 'analyze_sentiment'] | |
# %% app.ipynb 1 | |
import gradio as gr | |
from textblob import TextBlob | |
# %% app.ipynb 3 | |
def analyze_sentiment(text): | |
""" | |
Analyze the sentiment of the given text. | |
Args: | |
text (str): The text to analyze | |
Returns: | |
dict: A dictionary containing polarity, subjectivity, and assessment | |
""" | |
blob = TextBlob(text) | |
sentiment = blob.sentiment | |
assessments = "positive" if sentiment.polarity > 0 else "negative" if sentiment.polarity < 0 else "neutral" | |
return {"polarity": round(sentiment.polarity, 2), | |
"subjectivity": round(sentiment.subjectivity, 2), | |
"assessments": assessments} | |
# %% app.ipynb 5 | |
demo = gr.Interface(fn=analyze_sentiment, | |
inputs=gr.Textbox(placeholder="Enter text to analyze..."), | |
outputs="json", | |
title="Text Sentiment Analysis", | |
description="Analyze the sentiment of text using TextBlob") | |
demo.launch(mcp_server=True) | |