| # import streamlit as st | |
| # from transformers import pipeline | |
| import gradio as gr | |
| def image_classifier(inp): | |
| return {'cat': 0.3, 'dog': 0.7} | |
| demo = gr.Interface(fn=image_classifier, inputs="image", outputs="label") | |
| demo.launch(server_port=11924) | |
| # st.title("Определятор токсичности!") | |
| # pipe = pipeline(task='text-classification', model='s-nlp/russian_toxicity_classifier') | |
| # text = st.text_area('введите любой текст') | |
| # if text: | |
| # out = pipe(text) | |
| # st.json(out) |