app.py

from sentiment_analysis import SentimentAnalysisTool

# Create an instance of the tool
sentiment_tool = SentimentAnalysisTool()

# Launch the Gradio interface
if __name__ == "__main__":
    import gradio as gr
    
    with gr.Blocks(title="Sentiment Analysis Tool") as demo:
        gr.Markdown("# Sentiment Analysis Tool")
        
        with gr.Row():
            with gr.Column():
                text_input = gr.Textbox(
                    label="Enter text to analyze", 
                    placeholder="Type your text here...",
                    lines=5
                )
                
                with gr.Row():
                    analyze_btn = gr.Button("Analyze Sentiment")
                    clear_btn = gr.Button("Clear")
            
            with gr.Column():
                output = gr.JSON(label="Sentiment Analysis Results")
        
        analyze_btn.click(
            fn=sentiment_tool,
            inputs=text_input,
            outputs=output
        )
        
        clear_btn.click(
            fn=lambda: ("", None),
            inputs=None,
            outputs=[text_input, output]
        )
        
        gr.Examples(
            examples=[
                ["I love this product! It's amazing and works perfectly."],
                ["This movie was terrible. I was very disappointed."],
                ["The service was okay, but could be improved in several ways."]
            ],
            inputs=text_input
        )
    
    demo.launch(share=True)