| import gradio as gr |
|
|
| from sentiment_tool.service import SentimentService |
|
|
|
|
| service = SentimentService() |
|
|
|
|
| def analyze_sentiment(text): |
| return service.analyze(text) |
|
|
|
|
| with gr.Blocks( |
| title="Sentiment Analyzer CPU", |
| theme=gr.themes.Soft(primary_hue="yellow", secondary_hue="gray"), |
| ) as demo: |
| gr.Markdown( |
| """ |
| # Sentiment Analyzer CPU |
| Paste text and get positive, neutral, and negative sentiment scores. |
| """ |
| ) |
|
|
| text_input = gr.Textbox(label="Input Text", lines=8, placeholder="Write review, opinion, or message here") |
| run_button = gr.Button("Analyze", variant="primary") |
|
|
| label_output = gr.Textbox(label="Top Label", lines=1) |
| score_output = gr.Textbox(label="Score Breakdown", lines=4) |
| status_output = gr.Textbox(label="Status", lines=2) |
|
|
| run_button.click( |
| fn=analyze_sentiment, |
| inputs=[text_input], |
| outputs=[label_output, score_output, status_output], |
| ) |
|
|
|
|
| if __name__ == "__main__": |
| demo.launch() |
|
|
