InitialCommit

.gitignore

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+Lib/
+Scripts/
+Include/
+pyvenv.cfg

d.py

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+from deep_translator import (GoogleTranslator, PapagoTranslator, BaiduTranslator)
+
+def google_translate(text, target_lang='ko'):
+    translated = GoogleTranslator(source='auto', target=target_lang).translate(text)
+    return f"Google Translate: {translated}"
+
+def papago_translate(text, target_lang='ko'):
+    translated = PapagoTranslator(client_id='YOUR_CLIENT_ID', secret_key='YOUR_SECRET_KEY', source='auto', target=target_lang).translate(text)
+    return f"Papago Translate: {translated}"
+
+def baidu_translate(text, target_lang='zh'):
+    translated = BaiduTranslator(appid='YOUR_APP_ID', appkey='YOUR_APP_KEY', source='auto', target=target_lang).translate(text)
+    return f"Baidu Translate: {translated}"
+
+# Example usage
+text = "百度AI开放平台 \n 全球领先的人工智能服务平台"
+
+print(google_translate(text))
+print(papago_translate(text))
+print(baidu_translate(text))
+

main.py

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+from transformers import MarianMTModel, MarianTokenizer, MBartForConditionalGeneration, MBart50TokenizerFast
+import requests
+import hashlib
+import random
+import urllib.request
+import json
+
+# Baidu API 설정
+BAIDU_APP_ID = 'YOUR_APP_ID'
+BAIDU_SECRET_KEY = 'YOUR_SECRET_KEY'
+
+# Papago API 설정
+PAPAGO_CLIENT_ID = 'YOUR_CLIENT_ID'
+PAPAGO_CLIENT_SECRET = 'YOUR_CLIENT_SECRET'
+
+def marian_translate_zh_ko(text):
+    model_name = 'Helsinki-NLP/opus-mt-zh-ko'
+    tokenizer = MarianTokenizer.from_pretrained(model_name)
+    model = MarianMTModel.from_pretrained(model_name)
+    inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True)
+    translated = model.generate(**inputs)
+    translated_text = tokenizer.batch_decode(translated, skip_special_tokens=True)[0]
+    return f"MarianMT Translate (zh-ko): {translated_text}"
+
+def mbart_translate_zh_ko(text):
+    model_name = 'facebook/mbart-large-50-many-to-many-mmt'
+    tokenizer = MBart50TokenizerFast.from_pretrained(model_name)
+    model = MBartForConditionalGeneration.from_pretrained(model_name)
+    tokenizer.src_lang = 'zh_CN'
+    inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True)
+    translated = model.generate(**inputs, forced_bos_token_id=tokenizer.lang_code_to_id['ko_KR'])
+    translated_text = tokenizer.batch_decode(translated, skip_special_tokens=True)[0]
+    return f"mBART Translate (zh-ko): {translated_text}"
+
+def baidu_translate_zh_ko(text):
+    url = "https://fanyi-api.baidu.com/api/trans/vip/translate"
+    salt = random.randint(32768, 65536)
+    sign = hashlib.md5((BAIDU_APP_ID + text + str(salt) + BAIDU_SECRET_KEY).encode('utf-8')).hexdigest()
+    params = {
+        'q': text,
+        'from': 'zh',
+        'to': 'kor',
+        'appid': BAIDU_APP_ID,
+        'salt': salt,
+        'sign': sign
+    }
+    response = requests.get(url, params=params)
+    result = response.json()
+    return f"Baidu Translate (zh-ko): {result['trans_result'][0]['dst']}"
+
+def papago_translate_zh_ko(text):
+    encText = urllib.parse.quote(text)
+    data = "source=zh-CN&target=ko&text=" + encText
+    url = "https://openapi.naver.com/v1/papago/n2mt"
+    request = urllib.request.Request(url)
+    request.add_header("X-Naver-Client-Id", PAPAGO_CLIENT_ID)
+    request.add_header("X-Naver-Client-Secret", PAPAGO_CLIENT_SECRET)
+    response = urllib.request.urlopen(request, data=data.encode("utf-8"))
+    rescode = response.getcode()
+    if(rescode==200):
+        response_body = response.read()
+        result = json.loads(response_body.decode('utf-8'))
+        return f"Papago Translate (zh-ko): {result['message']['result']['translatedText']}"
+    else:
+        return "Error: Papago translation failed."
+
+# Example usage
+text = "你好"
+
+print(marian_translate_zh_ko(text))
+print(mbart_translate_zh_ko(text))
+print(baidu_translate_zh_ko(text))
+print(papago_translate_zh_ko(text))