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Gradio Lite Classify is an AI-powered tool designed for sentiment analysis. It enables users to quickly analyze text and determine its sentiment, whether it's positive, negative, or neutral. This tool is lightweight and provides real-time results, making it ideal for seamless integration into various applications.
pip install gradio
import gradio as gr
classify = gr.GradioLiteClassify()
def sentiment_analysis(text):
return classify/text>
with gr.Blocks() as demo:
gr.Markdown("# Sentiment Analysis with Gradio Lite Classify")
text_input = gr.Textbox(label="Enter text for sentiment analysis")
submit_button = gr.Button("Analyze")
output_label = gr.Textbox(label="Sentiment result")
demo.launch()
submit_button.click(
fn=sentiment_analysis,
inputs=text_input,
outputs=output_label,
)
What is Gradio Lite Classify used for?
Gradio Lite Classify is used for analyzing the sentiment of text. It quickly determines whether the text is positive, negative, or neutral, making it useful for applications like customer feedback analysis or social media sentiment monitoring.
Can I customize the sentiment analysis model?
Yes, Gradio Lite Classify allows customization. You can adjust settings and even integrate your preferred models, including advanced ones like BERT, to suit your specific needs.
What type of text analysis does Gradio Lite Classify support?
Gradio Lite Classify supports real-time text analysis. It provides immediate feedback after receiving input, making it ideal for applications where quick results are essential.