Update app.py

app.py

@@ -11,8 +11,12 @@ import chardet
 import pandas as pd
 import plotly.graph_objs as go
 
-# 使用 Hugging Face Space 的持久存儲路徑
-CSV_PATH = os.path.expanduser("~/evaluations.csv")
+try:
+    SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))
+except NameError:
+    SCRIPT_DIR = os.getcwd()
+
+CSV_PATH = os.path.join(SCRIPT_DIR, "evaluations.csv")
 
 def detect_encoding(file_path):
     with open(file_path, 'rb') as file:
@@ -34,7 +38,7 @@ def setup(file_path):
     text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=200)
     all_splits = text_splitter.split_documents(document_data)
     
-    persist_directory = '~/db'
+    persist_directory = 'db'
     model_name = "sentence-transformers/all-MiniLM-L6-v2"
     model_kwargs = {'device': 'cpu'}
     embedding = HuggingFaceEmbeddings(model_name=model_name, model_kwargs=model_kwargs)
@@ -193,7 +197,7 @@ def create_demo():
     return demo
 
 if __name__ == "__main__":
-    print(f"CSV file is located at: {CSV_PATH}")
+    print(f"CSV file is located at: {os.path.abspath(CSV_PATH)}")
     demo = create_demo()
     demo.launch(share=True)
 else: