Update src/main.py

src/main.py

@@ -2,14 +2,27 @@ import display_gloss as dg
 import synonyms_preprocess as sp
 from NLP_Spacy_base_translator import NlpSpacyBaseTranslator 
 from flask import Flask, render_template, Response, request
-from translate import Translator
+import requests
 
 app = Flask(__name__)
 
-# Initialize translators and data
+# 데이터 초기화
 nlp, dict_docs_spacy = sp.load_spacy_values()
 dataset, list_2000_tokens = dg.load_data()
 
+def translate_korean_to_english(text):
+    url = "https://translate.googleapis.com/translate_a/single"
+    params = {
+        "client": "gtx",
+        "sl": "ko",
+        "tl": "en",
+        "dt": "t",
+        "q": text
+    }
+    response = requests.get(url, params=params)
+    result = response.json()
+    return result[0][0][0]
+
 @app.route('/')
 def index():
     return render_template('index.html')
@@ -17,18 +30,14 @@ def index():
 @app.route('/translate/', methods=['POST'])
 def result():
     if request.method == 'POST':
-        # Get Korean input and translate to English
         korean_sentence = request.form['inputSentence']
-        translator = Translator(from_lang="ko", to_lang="en")
-        english_translation = translator.translate(korean_sentence)
+        english_translation = translate_korean_to_english(korean_sentence)
         
-        # Translate English to ASL gloss
         eng_to_asl_translator = NlpSpacyBaseTranslator(sentence=english_translation)
         generated_gloss = eng_to_asl_translator.translate_to_gloss()
         gloss_list_lower = [gloss.lower() for gloss in generated_gloss.split() if gloss.isalnum()]
         gloss_sentence_before_synonym = " ".join(gloss_list_lower)
         
-        # Process synonyms
         gloss_list = [sp.find_synonyms(gloss, nlp, dict_docs_spacy, list_2000_tokens) 
                      for gloss in gloss_list_lower]
         gloss_sentence_after_synonym = " ".join(gloss_list)