Update app.py

app.py

@@ -1,3 +1,29 @@
+import warnings
+warnings.filterwarnings("ignore")
+import gradio as gr
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from typing import Optional, Union, List, Dict, Any
+import random
+import time
+import datetime
+import os
+import re
+import pandas as pd
+from langchain.llms import HuggingFacePipeline
+from transformers import pipeline
+import requests
+from urllib.request import urlopen
+from urllib.parse import urlencode
+from urllib.error import HTTPError, URLError
+from urllib.request import Request
+import copy
+
+from langchain import ConversationChain, LLMChain, PromptTemplate
+from langchain.memory import ConversationBufferWindowMemory
+import torch
+
+import pickle
 from abc import ABC, abstractmethod
 from typing import List
 
@@ -89,7 +115,6 @@ class SensitiveTopicProtector:
         return cls(sensitive_topics=sensitive_topics, encoder=encoder, default_sensitivity=default_sensitivity)
 
 
-import pickle
 
 f = open("sensitive_topics.pkl", "rb")
 sensitive_topics = pickle.load(f)
@@ -97,18 +122,6 @@ f.close()
 
 guardian = SensitiveTopicProtector.fromRaw(sensitive_topics)
 
-import warnings
-warnings.filterwarnings("ignore")
-import gradio as gr
-import torch
-from transformers import AutoModelForCausalLM, AutoTokenizer
-from typing import Optional, Union, List, Dict, Any
-import random
-import time
-import datetime
-import os
-import re
-import pandas as pd
 
 name_model = "pythainlp/wangchanglm-7.5B-sft-en-sharded"
 model = AutoModelForCausalLM.from_pretrained(
@@ -123,12 +136,6 @@ tokenizer = AutoTokenizer.from_pretrained("facebook/xglm-7.5B")
 
 Thai = "Yes"
 
-from langchain.llms import HuggingFacePipeline
-from transformers import pipeline
-
-from langchain import ConversationChain, LLMChain, PromptTemplate
-from langchain.memory import ConversationBufferWindowMemory
-import torch
 
 
 from transformers import AutoTokenizer,AutoModelForCausalLM
@@ -177,12 +184,6 @@ chatgpt_chain = LLMChain(
 
 
 api_url = "https://wangchanglm.numfa.com/api.php" # Don't open this url!!!
-import requests
-from urllib.request import urlopen
-from urllib.parse import urlencode
-from urllib.error import HTTPError, URLError
-from urllib.request import Request
-import copy
 
 def sumbit_data(save,prompt,vote,feedback=None,max_len=None,temp=None,top_p=None,name_model=name_model):
   api_url = "https://wangchanglm.numfa.com/api.php"