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| import gradio as gr | |
| from transformers import pipeline | |
| # Load Sentiment Analysis Model | |
| sentiment_pipeline = pipeline("sentiment-analysis") | |
| # Define Function for Prediction | |
| def analyze_sentiment(text): | |
| result = sentiment_pipeline(text) | |
| return result[0]["label"], result[0]["score"] | |
| # Create Gradio Interface | |
| iface = gr.Interface( | |
| fn=analyze_sentiment, | |
| inputs=gr.Textbox(label="Enter Text"), | |
| outputs=[gr.Textbox(label="Sentiment"), gr.Textbox(label="Confidence Score")], | |
| title="Sentiment Analysis App", | |
| description="Enter a sentence and get its sentiment (Positive/Negative).", | |
| ) | |
| iface.launch() | |