Added proper paths for model and tokenizer

iris_emotion/SA_API.py

@@ -1,4 +1,5 @@
 import numpy as np
+import pkg_resources
 from tensorflow.keras.models import load_model
 from tensorflow.keras.preprocessing.sequence import pad_sequences
 import pickle
@@ -11,10 +12,12 @@ def __init__(self):
         self.index_to_class = dict((v, k) for k, v in self.class_to_index.items())
 
         # Initialize SA-Model-Final-v8
-        self.model= load_model('SA_Model_Final_v8')
+        self.model_path = pkg_resources.resource_filename('iris_emotion', 'SA_Model_Final_v8/')
+        self.model= load_model(self.model_path)
 
         # Initialize Tokenizer
-        with open('tokenizer.pickle', 'rb') as handle:
+        self.tk_path = pkg_resources.resource_filename('iris_emotion', 'tokenizer.pickle')
+        with open(self.tk_path, 'rb') as handle:
             self.tokenizer = pickle.load(handle)
 
     def get_sequences(self, msg):

setup.py

@@ -7,7 +7,7 @@
   name = 'iris_emotion',        
   packages = ['iris_emotion'],
   include_package_data= True,   
-  version = '0.1.0',      
+  version = '0.1.1',      
   license='MIT',       
   description = 'Detect emotions in text.',
   long_description=long_description,