Spaces:
Runtime error
Runtime error
import gradio as gr | |
from transformers import pipeline | |
import torch | |
id2label = {0: "NEGATIVE", 1: "POSITIVE"} | |
label2id = {"NEGATIVE": 0, "POSITIVE": 1} | |
# 导入在 HuggingFace 我们刚刚训练好而且上传成功的模型 chjun/my_awesome_model | |
classifier = pipeline("sentiment-analysis", model="chjun/my_awesome_model") | |
# inputs:输入文本 | |
def predict(inputs): | |
label_score = classifier(inputs) | |
scaled = 0 | |
if label_score[0]["label"] == "NEGATIVE": | |
scaled = 1 - label_score[0]["score"] | |
else: | |
scaled = label_score[0]["score"] | |
# 解码返回值得到输出 | |
return round(scaled * 5) | |
with gr.Blocks() as demo: | |
review = gr.Textbox(label="用户评论。注:此模型只使用了英文数据 Finetune") | |
output = gr.Textbox(label="颗星") | |
submit_btn = gr.Button("提交") | |
submit_btn.click(fn=predict, inputs=review, outputs=output) | |
demo.launch(debug=True) |