| import gradio as gr | |
| from transformers import pipeline | |
| # Load a sentiment analysis model | |
| classifier = pipeline("sentiment-analysis") | |
| # Define the function for sentiment analysis | |
| def analyze_sentiment(text): | |
| result = classifier(text) | |
| return result | |
| # Create a Gradio interface | |
| iface = gr.Interface( | |
| fn=analyze_sentiment, | |
| inputs=gr.inputs.Textbox(lines=2, placeholder="Type your text here..."), | |
| outputs=gr.outputs.Label(num_top_classes=1), | |
| title="Sentiment Analysis", | |
| description="Enter a sentence to analyze its sentiment." | |
| ) | |
| # Launch the Gradio app | |
| iface.launch() | |