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| import gradio as gr | |
| from transformers import pipeline | |
| sentimentPipeline = pipeline('sentiment-analysis') | |
| def analyze_sentiment(text): | |
| result = sentimentPipeline(text) | |
| return f"Sentiment: {result[0]['label']}, Confidence: {result[0]['score']:.2f}" | |
| app = gr.Interface( | |
| fn = analyze_sentiment, | |
| inputs =gr.Textbox(lines = 5, placeholder = "Enter your text here:"), | |
| outputs = "text", | |
| title="Sentiment Analysis Tool", | |
| description = "Sentiment Analysis Tool which helps you to analysis input tone" | |
| ) | |
| if __name__ == "__main__": | |
| app.launch() |