Update app.py

app.py

@@ -100,6 +100,11 @@ DB_PASSWORD = 'redmindGpt@123'
 DB_HOST = '217.21.88.10'
 DB_NAME = 'u852023448_redmindgpt'
 
+from huggingface_hub import create_branch, create_tag
+from huggingface_hub import login
+from huggingface_hub import HfApi
+token = os.getenv("HF_TOKEN")
+login(token=os.getenv("HF_TOKEN"))
 
 langfuse_handler = CallbackHandler()
 langfuse_handler.auth_check()  # Optional: Checks if the authentication is successful
@@ -1220,9 +1225,7 @@ def handle_large_dataset(df, create_document,isDataFrame):
         return "Your query returns a large dataset which is not supported in the current version. Please try a different query."
 
 def create_file_HF(file_path,directory):
-    from huggingface_hub import create_branch, create_tag
-    from huggingface_hub import login
-    from huggingface_hub import HfApi
+ 
     api = HfApi()
     
     repo_id = "Redmind/NewageNXTGPT_Repo_trial"
@@ -1230,7 +1233,7 @@ def create_file_HF(file_path,directory):
     
     
     
-    token = os.getenv("HF_TOKEN")
+    
     #check if direcotry exists
     dir_exists_flag = directory_exists(repo_id, directory, token)
     if not dir_exists_flag:
@@ -1238,7 +1241,7 @@ def create_file_HF(file_path,directory):
     else:
          directory = directory + "/" + file_path
     #if directory does not exist, create the directoty
-    login(token=os.getenv("HF_TOKEN"))
+    
     #create_branch("Redmind/NewageNXTGPT_Repo_trial", repo_type="space", branch="test-branch")
     
     #create_tag("bigcode/the-stack", repo_type="dataset", revision="v0.1-release", tag="v0.1.1", tag_message="Bump release version.")