mirror of
https://github.com/gradio-app/gradio.git
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597337dcb8
* added playground with 12 demos * change name to recipes, restyle navbar * add explanatory text to page * fix demo mapping * categorize demos, clean up design * styling * cateogry naming and emojis * refactor and add text demos * add view code button * remove opening slash in embed * styling * add image demos * adding plot demos * remove see code button * removed submodules * changes * add audio models * remove fun section * remove tests in image semgentation demo repo * requested changes * add outbreak_forecast * fix broken demos * remove images and models, add new demos * remove readmes, change to run.py, add description as comment * move to /demos folder, clean up dict * add upload_to_spaces script * fix script, clean repos, and add to docker file * fix python versioning issue * env variable * fix * env fixes * spaces instead of tabs * revert to original networking.py * fix rate limiting in asr and autocomplete * change name to demos * clean up navbar * move url and description, remove code comments * add tabs to demos * remove margins and footer from embedded demo * font consistency Co-authored-by: Abubakar Abid <abubakar@huggingface.co>
20 lines
514 B
Python
20 lines
514 B
Python
import gradio as gr
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import nltk
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from nltk.sentiment.vader import SentimentIntensityAnalyzer
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nltk.download("vader_lexicon")
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sid = SentimentIntensityAnalyzer()
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def sentiment_analysis(text):
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scores = sid.polarity_scores(text)
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del scores["compound"]
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return scores
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demo = gr.Interface(
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fn=sentiment_analysis,
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inputs=gr.Textbox(placeholder="Enter a positive or negative sentence here..."),
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outputs="label",
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interpretation="default",
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examples=[["This is wonderful!"]])
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demo.launch() |