import gradio as gr
from transformers import pipeline
from gradio.themes.utils import sizes


theme = gr.themes.Default(radius_size=sizes.radius_none).set(
    block_label_text_color = '#4D63FF',
    block_title_text_color = '#4D63FF',
    button_primary_text_color = '#4D63FF',
    button_primary_background_fill='#FFFFFF',
    button_primary_border_color='#4D63FF',
    button_primary_background_fill_hover='#EDEFFF',
)


sentimentPipeline = pipeline("zero-shot-classification", model="cross-encoder/nli-distilroberta-base")

def sentiment_analysis(text, labels):
    candidate_labels = labels.split(',') 
    results = sentimentPipeline(text, candidate_labels)

    total_results = ""
    index = 0

    for candidate_label in candidate_labels:
        total_results += f"Sentiment: {results.get('labels')[index]}, Score: {results.get('scores')[index]}"
        total_results += '\r\n'
        index += 1

    return total_results

with gr.Blocks(theme=theme, css="footer {visibility: hidden}") as demo:
    gr.Markdown("""
    <div align='center' ><font size='60'>文本情感分析</font></div>
    """)
    with gr.Row():
        with gr.Column():
            text = gr.Textbox(label="文本")
            label = gr.Textbox(label="标签")
            with gr.Row():
                button = gr.Button("提交", variant="primary")
        box2 = gr.Textbox(label="文本")

    button.click(fn=sentiment_analysis, inputs=[text, label], outputs=box2)
    examples = gr.Examples(examples=[['Apple just announced the newest iPhone X', 'technology, sports, politics'], ['Last week I upgraded my iOS version and ever since then my phone has been overheating whenever I use your app.', 'mobile, website, billing, account access']],  inputs=[text, label], label="例子")
    

if __name__ == "__main__":
    demo.queue(concurrency_count=3)
    demo.launch(server_name = "0.0.0.0")