Merge branch 'other/model_separation' into 'dev'

Other/model separation

See merge request !6

resources/awsOperation.py

@@ -4,8 +4,8 @@ import numpy as np
 
 class AwsOperation:
         
-    def __init__(self, bucket_name):
-        self.bucket_name = bucket_name
+    def __init__(self):
+        pass
 
     def s3_connector(self):
     
@@ -13,5 +13,5 @@ class AwsOperation:
             aws_access_key_id="AKIAWAP4EPNHCC6BXFXV",
             aws_secret_access_key="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",
         )
-        s3 =  session.resource('s3')
-        return s3.Bucket(self.bucket_name)
\ No newline at end of file
+        return session.resource('s3')
+        # return s3.Bucket(self.bucket_name)
\ No newline at end of file

resources/wordsMappingModel.py

+from .awsOperation import AwsOperation
+from moviepy.editor import *
+from loguru import logger
+
+import os
+import json
+import cv2
+import numpy as np
+import glob
+
+
+# pamalcodex
+
+class WordMapping:
+
+    def __init__(self, filtered_sentence):
+        self.filtered_sentence = filtered_sentence
+
+    def words_map_with_gestures(self):
+            
+            try:
+                clip_arr = []
+
+                aws = AwsOperation()
+                s3_session = aws.s3_connector()
+                bucket = s3_session.Bucket('rpserverone')
+
+                extension = ".mp4"
+
+                for i in range(0, len(self.filtered_sentence)):
+                    print(type(i))
+                    print(str(self.filtered_sentence[i]) + extension)
+                    bucket.download_file(str(self.filtered_sentence[i])+extension, 'D:/s3_tute/'+str(self.filtered_sentence[i])+extension)
+
+                for i in range(0, len(self.filtered_sentence)):
+                    with open('D:/s3_tute/' + str(self.filtered_sentence[i])+extension) as f:
+                        clip = VideoFileClip(f.name)
+                        clip_arr.append(clip)
+
+                final = concatenate_videoclips(clip_arr)
+                final.write_videofile("assets/final_video/final_out.mp4")
+
+                s3_session.meta.client.upload_file("assets/final_video/final_out.mp4","pamalcodex", "final_out.mp4")
+                os.remove(os.path.join("D:/rp_server_one/assets/final_video", "final_out.mp4"))
+            
+            except Exception as e:
+                logger.error(str(e))
+                return json.loads(json.dumps({"message" : str(e)})), 500
\ No newline at end of file

resources/wordsProcessModel.py

 from nltk.tokenize import word_tokenize
 from loguru import logger
 from .awsOperation import AwsOperation
+from .wordsMappingModel import WordMapping
+from moviepy.editor import *
+
 import os
 import json
 import cv2
 import numpy as np
 import glob
-from moviepy.editor import *
 
 class WordModel:
 
@@ -39,24 +41,8 @@ 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")
-
+            word_mapper = WordMapping(filtered_sentence)
+            word_mapper.words_map_with_gestures()
 
             return json.loads(json.dumps({
                 "filtered_words" : filtered_sentence,