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Download app.py from gradio/sentiment_analysis: direct link, hf CLI and curl.
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https://huggingface.co/spaces/gradio/sentiment_analysis/resolve/main/app.py
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hf download hf://spaces/gradio/sentiment_analysis/app.py
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curl -L -o app.py https://huggingface.co/spaces/gradio/sentiment_analysis/resolve/main/app.py
514 Bytes
| import gradio as gr | |
| import nltk | |
| from nltk.sentiment.vader import SentimentIntensityAnalyzer | |
| nltk.download("vader_lexicon") | |
| sid = SentimentIntensityAnalyzer() | |
| def sentiment_analysis(text): | |
| scores = sid.polarity_scores(text) | |
| del scores["compound"] | |
| return scores | |
| demo = gr.Interface( | |
| fn=sentiment_analysis, | |
| inputs=gr.Textbox(placeholder="Enter a positive or negative sentence here..."), | |
| outputs="label", | |
| interpretation="default", | |
| examples=[["This is wonderful!"]]) | |
| demo.launch() |