Update ready.py

ready.py

@@ -118,6 +118,17 @@ train_dataloader
 model = torch.load('./model_weights_softmax(model).pth')
 model.eval()
 
+# 멜론 데이터 불러오기 
+
+melon_data = pd.read_csv('./melon_data.csv')
+melon_emotions = pd.read_csv('./melon_emotions_final.csv')
+melon_emotions = pd.merge(melon_emotions, melon_data, left_on='Title', right_on='title', how='inner')
+melon_emotions = melon_emotions[['singer', 'Title', 'genre','Emotions']]
+melon_emotions = melon_emotions.drop_duplicates(subset='Title', keep='first')
+melon_emotions['Emotions'] = melon_emotions['Emotions'].apply(lambda x: ast.literal_eval(x))
+
+emotions = melon_emotions['Emotions'].to_list()
+
 #gradio
 !pip install --upgrade gradio
 import numpy as np