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# 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) |