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import gradio as gr | |
from transformers import pipeline | |
# Load the sentiment analysis model | |
sentiment_analyzer = pipeline("sentiment-analysis") | |
# Function to analyze text sentiment | |
def analyze_sentiment(text): | |
result = sentiment_analyzer(text) | |
sentiment = result[0]['label'] | |
score = result[0]['score'] | |
return f"Sentiment: {sentiment} (Confidence: {score:.2f})" | |
# Gradio interface | |
app = gr.Interface( | |
fn=analyze_sentiment, | |
inputs=gr.Textbox(label="Enter text to analyze"), | |
outputs=gr.Textbox(label="Sentiment Analysis Result"), | |
title="Text Sentiment Analyzer", | |
description="A simple app that analyzes the sentiment of your text input." | |
) | |
if __name__ == "__main__": | |
app.launch() | |