project-sign-language/Sign_language
0
1import display_gloss as dg2import synonyms_preprocess as sp3from NLP_Spacy_base_translator import NlpSpacyBaseTranslator 4from flask import Flask, render_template, Response, request5 6# ---- Initialise Flask App7#8app = Flask(__name__)9 10# ---- Initialise data11#12nlp, dict_docs_spacy = sp.load_spacy_values()13dataset, list_2000_tokens = dg.load_data()14 15# ---- Render the homepage template16#17@app.route('/')18def index():19 20 return render_template('index.html')21 22# ---- Translate english input sentence into gloss sentence23#24@app.route('/translate/', methods=['POST'])25def result():26 27 if request.method == 'POST':28 # ---- Get the raw sentence and translate it to gloss29 #30 sentence = request.form['inputSentence']31 eng_to_asl_translator = NlpSpacyBaseTranslator(sentence=sentence)32 generated_gloss = eng_to_asl_translator.translate_to_gloss()33 gloss_list_lower = [gloss.lower() for gloss in generated_gloss.split() if gloss.isalnum() ]34 gloss_sentence_before_synonym = " ".join(gloss_list_lower)35 36 # ---- Substitute gloss tokens with synonyms if not in the common token list37 #38 gloss_list = [sp.find_synonyms(gloss, nlp, dict_docs_spacy, list_2000_tokens) for gloss in gloss_list_lower]39 gloss_sentence_after_synonym = " ".join(gloss_list)40 41 # ---- Render the result template with both versions of the gloss sentence42 #43 return render_template('translate.html',\44 sentence=sentence,\45 gloss_sentence_before_synonym=gloss_sentence_before_synonym,\46 gloss_sentence_after_synonym=gloss_sentence_after_synonym)47 48# ---- Generate video streaming from gloss_sentence49#50@app.route('/video_feed')51def video_feed():52 53 sentence = request.args.get('gloss_sentence_to_display', '')54 gloss_list = sentence.split()55 return Response(dg.generate_video(gloss_list, dataset, list_2000_tokens), mimetype='multipart/x-mixed-replace; boundary=frame')56 57if __name__ == "__main__":58 app.debug = True59 app.run(host="0.0.0.0", port=5000, debug=True)60 