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Upload Translator.py
Browse files- pages/Translator.py +30 -0
pages/Translator.py
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import streamlit as st
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import requests
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# Установка API URL и заголовков
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API_URL_tra = "https://api-inference.huggingface.co/models/Helsinki-NLP/opus-mt-en-ru"
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headers = {"Authorization": os.getenv("api_token")}
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# Функция для перевода слова
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def translate_word(payload):
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response = requests.post(API_URL_tra, headers=headers, json=payload)
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return response.json()
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# Настраеваем заголовок и название страницы
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st.set_page_config(layout="wide", page_title="Students' Personal Assistant")
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st.markdown(' # :female-student: Персональный помощник для студентов')
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st.divider()
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st.markdown('## :robot_face: Переводчик ')
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col1, col2 = st.columns(2)
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translated = ''
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with col1:
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words_from_tarea = st.text_area('English', value='cat dog duck')
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traslate_btn = st.button("Перевести")
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with col2:
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if traslate_btn:
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translated = translate_word({"inputs": words_from_tarea})
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st.text_area('Перевод', value=translated[0]['translation_text'])
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