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import os | |
from dotenv import load_dotenv | |
import gradio as gr | |
from textblob import TextBlob | |
# Load environment variables from .env file | |
load_dotenv() | |
def sentiment_analysis(text:str) -> dict: | |
""" | |
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 | |
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 analyze..."), | |
outputs=gr.JSON(), | |
title="Text Sentiment Analysis", | |
description="Analyze the sentiment of text using TextBlob" | |
) | |
if __name__ == "__main__": | |
demo.launch(share=True) |