app.py

import gradio as gr
import requests
import os
# from dotenv import load_dotenv

# load_dotenv()

API_URL = os.getenv("API_URL")
AUTH_TOKEN = os.getenv("AUTH_TOKEN")

headers = {"Authorization": f"Bearer {AUTH_TOKEN}"} 

def postproccess(responce):
    try:
        return ' '.join(x['entity_group'] for x in responce)
    except Exception as ex:
        print(list(responce.items()))
        print(f"Exception: {ex}")
        # return f"Exception: {ex}"
        return query(inp.value)

def query(request):
    response = requests.post(API_URL, headers=headers, json=request)
    return postproccess(response.json())
	

with gr.Blocks() as demo:
    gr.Markdown(
    """
    # Модель для определения скелетной структуры текста
    
    Это веб-приожение демонстрирует работу модели.

    - [Модель](https://huggingface.co./disk0dancer/ruBert-base-finetuned-pos)
    - [Проект](https://huggingface.co./spaces/disk0dancer/demo-rubert-base-finetuned-pos)
    - [Код и Документация](https://github.com/disk0Dancer/rubert-finetuned-pos)

    """)
    inp = gr.Textbox(placeholder="Введите текст на русском языке...", label="input")
    out = gr.Textbox(label="output")
    inp.change(query, inp, out)
    with open('tags.txt', 'r') as f:
        gr.Markdown(f.read())

if __name__ == "__main__":
    demo.launch()