| import os | |
| import requests | |
| import streamlit as st | |
| API_URL = "https://api-inference.huggingface.co/models/andrek/nb2nn" | |
| def translate(text): | |
| headers = {"Authorization": f"Bearer {os.environ['BEARER']}"} | |
| payload = { | |
| "inputs": text, | |
| } | |
| try: | |
| response = requests.post(API_URL, headers=headers, json=payload) | |
| json_response = response.json()[0] | |
| if "error" in json_response: | |
| return f"Model still loading: {json_response}" | |
| elif "translation_text" in json_response: | |
| return json_response["translation_text"] | |
| except Exception as exc: | |
| return f"Oops, something went wrong: {exc}" | |
| st.set_page_config( | |
| page_title='Norwegian Bokmaal to Nynorsk', | |
| page_icon='translator-icon.png', | |
| ) | |
| st.title("Language Translator from Norwegian Bokmaal to Nynorsk :balloon:") | |
| text = st.text_area("Enter text:", | |
| height=None, | |
| max_chars=None, | |
| key=None, | |
| help="Enter your text here", | |
| ) | |
| if st.button('Translate'): | |
| if str(text).strip() == "": | |
| st.warning('Please **enter text** for translation') | |
| else: | |
| st.info(str(translate(text))) | |