basic translation app is done

requirements.txt

 aniso8601==9.0.1

resources/wordsProcessModel.py

 from nltk.tokenize import word_tokenize
 from loguru import logger
-
+from .awsOperation import AwsOperation
 import os
 import json
+import cv2
+import numpy as np
+import glob
+from moviepy.editor import *
 
 class WordModel:
 
@@ -18,6 +22,8 @@ class WordModel:
         try:
             logger.info('word_pre_process - hits')
 
+            clip_arr = []
+
             # Identify all the takens
             para_tokenize = word_tokenize(self.para)
             logger.info('Tokenized Words : ' ,para_tokenize)
@@ -33,6 +39,25 @@ class WordModel:
                 if w not in stop_words:
                     filtered_sentence.append(w)
 
+            aws = AwsOperation('rpserverone')
+            bucket = aws.s3_connector()
+
+            extension = ".mp4"
+            # sign_names = ["this", "beautiful", "day"]
+
+            for i in range(0, len(filtered_sentence)):
+                print(type(i))
+                print(str(filtered_sentence[i]) + extension)
+                bucket.download_file(str(filtered_sentence[i])+extension, 'D:/s3_tute/'+str(filtered_sentence[i])+extension)
+
+            for filename in glob.glob('D:/s3_tute/*.mp4'):
+                clip = VideoFileClip(filename)
+                clip_arr.append(clip)
+
+            final = concatenate_videoclips(clip_arr)
+            final.write_videofile("final_out.mp4")
+
+
             return json.loads(json.dumps({
                 "filtered_words" : filtered_sentence,
                 "tokens" : para_tokenize,