用gradio创造奇迹web页面，模型快速展示效果

后附参考链接：

1、情感分析：积极，消极，中性

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()

 

 2、NER实体识别

import gradio as gr
import os
os.system('python -m