add application files

app.py

@@ -57,8 +57,8 @@ def download_glove_embeddings_gdrive(model_type):
     word_index_temp = "word_index_dict_" + str(model_type) + "_temp.pkl"
     # 100d download
     if model_type == "100d":
-        file1_path = hf_hub_download(repo_id='AveMujica/glove-twitter-100d', filename='embeddings_100d_temp.npy')
-        file2_path = hf_hub_download(repo_id='AveMujica/glove-twitter-100d', filename='word_index_dict_100d_temp.pkl')
+        file1_path = hf_hub_download(repo_id='AveMujica/glove-twitter-100d', filename='embeddings_100d_temp.npy', local_dir='Data')
+        file2_path = hf_hub_download(repo_id='AveMujica/glove-twitter-100d', filename='word_index_dict_100d_temp.pkl', local_dir='Data')
         print(f"File downloaded to: {file1_path}, {file2_path}")
     else:
         # Get glove embeddings from google drive
@@ -75,8 +75,12 @@ def download_glove_embeddings_gdrive(model_type):
 
 # @st.cache_data()
 def load_glove_embeddings_gdrive(model_type):
-    word_index_temp = "word_index_dict_" + str(model_type) + "_temp.pkl"
-    embeddings_temp = "embeddings_" + str(model_type) + "_temp.npy"
+    if model_type == "100d":
+        word_index_temp = "Data/word_index_dict_" + str(model_type) + "_temp.pkl"
+        embeddings_temp = "Data/embeddings_" + str(model_type) + "_temp.npy"
+    else:
+        word_index_temp = "word_index_dict_" + str(model_type) + "_temp.pkl"
+        embeddings_temp = "embeddings_" + str(model_type) + "_temp.npy"
 
     # Load word index dictionary
     word_index_dict = pickle.load(open(word_index_temp, "rb"), encoding="latin")