Create main-backup.py

src/main-backup.py

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+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, jsonify
+import requests
+
+app = Flask(__name__, static_folder='static')
+app.config['TITLE'] = 'Sign Language Translate'
+
+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)
+    return response.json()[0][0][0]
+
+@app.route('/')
+def index():
+    return render_template('index.html', title=app.config['TITLE'])
+
+@app.route('/translate/', methods=['POST'])
+def result():
+    if request.method == 'POST':
+        korean_sentence = request.form['inputSentence']
+        try:
+            english_translation = translate_korean_to_english(korean_sentence)
+            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)
+            
+            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)
+            
+            return render_template('result.html',
+                                title=app.config['TITLE'],
+                                original_sentence=korean_sentence,
+                                english_translation=english_translation,
+                                gloss_sentence_before_synonym=gloss_sentence_before_synonym,
+                                gloss_sentence_after_synonym=gloss_sentence_after_synonym)
+        except Exception as e:
+            return render_template('error.html', error=str(e))
+
+@app.route('/video_feed')
+def video_feed():
+    sentence = request.args.get('gloss_sentence_to_display', '')
+    gloss_list = sentence.split()
+    return Response(dg.generate_video(gloss_list, dataset, list_2000_tokens), 
+                   mimetype='multipart/x-mixed-replace; boundary=frame')
+
+if __name__ == "__main__":
+    app.run(host="0.0.0.0", port=5000, debug=True)