Update admin_utils.py

admin_utils.py

@@ -50,33 +50,3 @@ def push_to_pinecone(pinecone_apikey,pinecone_environment,pinecone_index_name,em
     index_name = pinecone_index_name
     index = Pinecone.from_documents(docs, embeddings, index_name=index_name)
     return index
-
-#*********Functions for dealing with Model related tasks...************
-
-#Read dataset for model creation
-def read_data(data):
-    df = pd.read_csv(data,delimiter=',', header=None)  
-    return df
-
-#Create embeddings instance
-def get_embeddings():
-    embeddings = SentenceTransformerEmbeddings(model_name="all-MiniLM-L6-v2")
-    return embeddings
-
-#Generating embeddings for our input dataset
-def create_embeddings(df,embeddings):
-    df[2] = df[0].apply(lambda x: embeddings.embed_query(x))
-    return df
-
-#Splitting the data into train & test
-def split_train_test__data(df_sample):
-    # Split into training and testing sets
-    sentences_train, sentences_test, labels_train, labels_test = train_test_split(
-    list(df_sample[2]), list(df_sample[1]), test_size=0.25, random_state=0)
-    print(len(sentences_train))
-    return sentences_train, sentences_test, labels_train, labels_test
-
-#Get the accuracy score on test data
-def get_score(svm_classifier,sentences_test,labels_test):
-    score = svm_classifier.score(sentences_test, labels_test)
-    return score