write the app.py and upload data

app.py

@@ -2,6 +2,7 @@ import openai
 import tiktoken
 
 import collections
+import threading
 import datetime
 import time
 import pytz
@@ -33,11 +34,12 @@ def num_tokens_from_messages(messages, model="gpt-3.5-turbo"):
         raise NotImplementedError(f"""num_tokens_from_messages() is not presently implemented for model {model}.
 See https://github.com/openai/openai-python/blob/main/chatml.md for information on how messages are converted to tokens.""")
 
+
 qas = []
 qs = []
 start_time = None
 
-def read_qs():
+def read_qs(qs, qas):
     directory = "./dialogues_set"
     filenames = [
         'dialogues_film.json', 
@@ -92,8 +94,8 @@ def ask(query, max_attempt_times=3):
     return answer
 
 
-def askingChatGPT(min_interval_seconds=10):
-    qs = read_qs()
+def askingChatGPT(qs, qas, min_interval_seconds=10):
+    read_qs(qs, qas)
     
     start_time = time.time()
     for i, q in enumerate(qs):
@@ -113,7 +115,7 @@ def askingChatGPT(min_interval_seconds=10):
     return
 
 
-thread = threading.Thread(target=my_function)
+thread = threading.Thread(target=lambda :askingChatGPT(qs, qas))
 thread.daemon = True
 thread.start()
 
@@ -138,7 +140,7 @@ def download(api_key):
         file_ret = gr.File.update(value=None, visible=False)
     else:
         chatbot_ret = [(f"Your entered api_key is correct.", f"The file containing all processed query-responses ({len(qas)} in total) can be downloaded below.")]
-        filename = f"qas{len(qas)}.json"
+        filename = f"qas-{len(qas)}.json"
         with open(filename, "w", encoding="utf-8") as f:
             f.write(json.dumps(qas, ensure_ascii=False, indent=2))
         file_ret = gr.File.update(value=filename, visible=True)